Methods for the formation and optimization of author profiles are presented. The author profile is an image – a vector in a multidimensional space, which components are author’s texts measurements by a number of methods based on 4-grams, stemming, recurrence analysis and formal stochastic grammar. The author’s profile is a model of his language, including vocabulary, sentence syntax features. A comparative analysis of each of the methods effectiveness is carried out. By means of the genetic algorithm, a reduced profile of the author is formed. Insignificant indicators are excluded, which allows to reduce their number by 20%. The reduced author’s profile contains attributes that are significant for this author and is an effective attribution of a particular author.
{"title":"Methods and software for significant indicators determination of the natural language texts author profile","authors":"V. Shynkarenko, I.M. Demydovych","doi":"10.15407/pp2023.03.022","DOIUrl":"https://doi.org/10.15407/pp2023.03.022","url":null,"abstract":"Methods for the formation and optimization of author profiles are presented. The author profile is an image – a vector in a multidimensional space, which components are author’s texts measurements by a number of methods based on 4-grams, stemming, recurrence analysis and formal stochastic grammar. The author’s profile is a model of his language, including vocabulary, sentence syntax features. A comparative analysis of each of the methods effectiveness is carried out. By means of the genetic algorithm, a reduced profile of the author is formed. Insignificant indicators are excluded, which allows to reduce their number by 20%. The reduced author’s profile contains attributes that are significant for this author and is an effective attribution of a particular author.","PeriodicalId":508096,"journal":{"name":"PROBLEMS IN PROGRAMMING","volume":"243 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139344570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper briefly describes the history of numerical weather prediction development. The difficulties, which occur in the modelling of atmospheric processes, their nature and possible ways of their mitigation, are described. It also indicates alternative methods of improving the quality of meteorological forecasts. A brief history of deep learning and possible ways of its application to meteorological problems are given. Then, the paper describes the format used to store the 2m temperature forecasts of the COSMO numerical regional model. The proposed neural network architecture enables correcting the forecast errors of the numerical model. We conducted the experiments on the data of eight meteorological stations of the Kyiv region, so we obtained eight trained neural network models. The results showed that the proposed architecture enables obtaining better-quality forecasts in more than 50% of cases. Root-mean-square errors of the resulting forecasts decreased, and it is a widespread skill-score of improved-quality forecasts in meteorological science.
{"title":"Deeplearning-based approach to improving numerical weather forecasts","authors":"А.Yu. Doroshenko, V. Shpyg, R. Kushnirenko","doi":"10.15407/pp2023.03.091","DOIUrl":"https://doi.org/10.15407/pp2023.03.091","url":null,"abstract":"This paper briefly describes the history of numerical weather prediction development. The difficulties, which occur in the modelling of atmospheric processes, their nature and possible ways of their mitigation, are described. It also indicates alternative methods of improving the quality of meteorological forecasts. A brief history of deep learning and possible ways of its application to meteorological problems are given. Then, the paper describes the format used to store the 2m temperature forecasts of the COSMO numerical regional model. The proposed neural network architecture enables correcting the forecast errors of the numerical model. We conducted the experiments on the data of eight meteorological stations of the Kyiv region, so we obtained eight trained neural network models. The results showed that the proposed architecture enables obtaining better-quality forecasts in more than 50% of cases. Root-mean-square errors of the resulting forecasts decreased, and it is a widespread skill-score of improved-quality forecasts in meteorological science.","PeriodicalId":508096,"journal":{"name":"PROBLEMS IN PROGRAMMING","volume":"32 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139346315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The article considers the use of the neuroevolution algorithm for neural network policies search when creating a controller for a robotic arm, in particular for the subtask of positioning the end effector. Neuro-evolution is a family of machine learning methods that use evolutionary algorithms by imitating the process of natural selection. This approach has been found to be particularly effective for the positioning task, where the final position can be achieved in many optimal ways and therefore requires reinforcement learning. It is noted that the final result of neuroevolution is an optimal network topology, which makes the model more resource-efficient and easier to analyze. The paper considers the process of neural network policy search for controlling a two-dimensional robot with two links. According to the results of the experiments, an increase in the efficiency of the best solution found using novelty search for the NEAT algorithm is noted compared to the NEAT algorithm without novelty search. It was established that the proposed approach allows to obtain an effective neural network policy, which has a minimal configuration, which will allow to increase the speed of the controller, that is critical for the operation of a real system. Thus, the use of novelty search as a method of optimizing the neuroevolutionary process to solve the positioning problem allows to increase the efficiency of the learning process and obtain the optimal network topology.
{"title":"Novelty search in neuroevolution for end effector positioning","authors":"A. Vitiuk, A. Doroshenko","doi":"10.15407/pp2023.03.049","DOIUrl":"https://doi.org/10.15407/pp2023.03.049","url":null,"abstract":"The article considers the use of the neuroevolution algorithm for neural network policies search when creating a controller for a robotic arm, in particular for the subtask of positioning the end effector. Neuro-evolution is a family of machine learning methods that use evolutionary algorithms by imitating the process of natural selection. This approach has been found to be particularly effective for the positioning task, where the final position can be achieved in many optimal ways and therefore requires reinforcement learning. It is noted that the final result of neuroevolution is an optimal network topology, which makes the model more resource-efficient and easier to analyze. The paper considers the process of neural network policy search for controlling a two-dimensional robot with two links. According to the results of the experiments, an increase in the efficiency of the best solution found using novelty search for the NEAT algorithm is noted compared to the NEAT algorithm without novelty search. It was established that the proposed approach allows to obtain an effective neural network policy, which has a minimal configuration, which will allow to increase the speed of the controller, that is critical for the operation of a real system. Thus, the use of novelty search as a method of optimizing the neuroevolutionary process to solve the positioning problem allows to increase the efficiency of the learning process and obtain the optimal network topology.","PeriodicalId":508096,"journal":{"name":"PROBLEMS IN PROGRAMMING","volume":"28 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139343688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The ever-evolving landscape of digital simulations demands innovative frameworks to achieve both realism and efficiency. The research highlights the issues of modern software architecture for physics simulation. The new architecture was developed to mitigate scalability and flexibility issues. The essence of the proposed architecture resides in the convergence of three pivotal concepts: the modular physics engine, the physics pipeline, and the Entity Component System (ECS) pattern. The modular physics engine represents a paradigm shift in simulation design. Compartmentalizing functionalities into modules, this approach fosters flexibility and reusability, enabling efficient construction of specialized simulations. The physics pipeline orchestrates simulations through structured stages, analogous to graphics pipelines. It guides dynamic forces, collisions, and interactions, optimizing resource use and integrating custom systems for accuracy. Complementing these, the ECS pattern decouples data and behavior, facilitating the construction of user defined physical pipeline comprised of loosely coupled modules. Combined with the modular physics engine and physics pipeline, ECS forms a comprehensive approach for complex physics simulations.
{"title":"Module-based scientific physics engine architecture","authors":"A.A. Bernatovych, I. V. Stetsenko","doi":"10.15407/pp2023.03.030","DOIUrl":"https://doi.org/10.15407/pp2023.03.030","url":null,"abstract":"The ever-evolving landscape of digital simulations demands innovative frameworks to achieve both realism and efficiency. The research highlights the issues of modern software architecture for physics simulation. The new architecture was developed to mitigate scalability and flexibility issues. The essence of the proposed architecture resides in the convergence of three pivotal concepts: the modular physics engine, the physics pipeline, and the Entity Component System (ECS) pattern. The modular physics engine represents a paradigm shift in simulation design. Compartmentalizing functionalities into modules, this approach fosters flexibility and reusability, enabling efficient construction of specialized simulations. The physics pipeline orchestrates simulations through structured stages, analogous to graphics pipelines. It guides dynamic forces, collisions, and interactions, optimizing resource use and integrating custom systems for accuracy. Complementing these, the ECS pattern decouples data and behavior, facilitating the construction of user defined physical pipeline comprised of loosely coupled modules. Combined with the modular physics engine and physics pipeline, ECS forms a comprehensive approach for complex physics simulations.","PeriodicalId":508096,"journal":{"name":"PROBLEMS IN PROGRAMMING","volume":"54 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139343725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We analyse the main functions of modern web portals that differ them from other types of sites. In this work we consider intelligent information-analytical web portals as a specific subset of intelligent information-analytical systems, and their features and development trends that have an influence on their semanticization are analysed. As a part of such analysis we considered knowledge models and technologies of their processing that can be used for this aim. We determine standards and tools of the Semantic Web that can be used for the semanticization of web portals and describe the ways of such use on practical examples. Some basic requirements for technologies and instrumental tools used for development of semantic portals are considered. We analyse and classify typical problems related to the processing, structuring, and analysis of large volumes of data that arise in the process of creating and deploying such portals, and the criteria for evaluating the development opportunities of existing web portals are considered. On example of web portal based on semantic Wiki technologies we investigate practical problems of implementation and scaling of portal knowledge processing tools and services and propose some ways of their prevention and solution.
我们分析了现代门户网站有别于其他类型网站的主要功能。在这项工作中，我们将智能信息分析门户网站视为智能信息分析系统的一个特定子集，并分析了它们的特点以及对其语义化有影响的发展趋势。作为分析的一部分，我们考虑了可用于这一目的的知识模型及其处理技术。我们确定了可用于门户网站语义化的语义网标准和工具，并通过实际案例介绍了使用这些标准和工具的方法。我们还考虑了用于开发语义门户网站的技术和工具的一些基本要求。我们对创建和部署此类门户网站过程中出现的与大量数据的处理、结构化和分析有关的典型问题进行了分析和分类，并考虑了评估现有门户网站发展机会的标准。以基于语义 Wiki 技术的门户网站为例，我们研究了门户网站知识处理工具和服务的实施和扩展方面的实际问题，并提出了一些预防和解决方法。
{"title":"Development of intelligent information analytical webportals based on semantic Wiki technologies: problems and challenges","authors":"J. V. Rogushina","doi":"10.15407/pp2023.03.066","DOIUrl":"https://doi.org/10.15407/pp2023.03.066","url":null,"abstract":"We analyse the main functions of modern web portals that differ them from other types of sites. In this work we consider intelligent information-analytical web portals as a specific subset of intelligent information-analytical systems, and their features and development trends that have an influence on their semanticization are analysed. As a part of such analysis we considered knowledge models and technologies of their processing that can be used for this aim. We determine standards and tools of the Semantic Web that can be used for the semanticization of web portals and describe the ways of such use on practical examples. Some basic requirements for technologies and instrumental tools used for development of semantic portals are considered. We analyse and classify typical problems related to the processing, structuring, and analysis of large volumes of data that arise in the process of creating and deploying such portals, and the criteria for evaluating the development opportunities of existing web portals are considered. On example of web portal based on semantic Wiki technologies we investigate practical problems of implementation and scaling of portal knowledge processing tools and services and propose some ways of their prevention and solution.","PeriodicalId":508096,"journal":{"name":"PROBLEMS IN PROGRAMMING","volume":"49 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139346206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The article discusses the application of the concept of a digital twin in the field of weather forecasting to create a smart city. A digital twin is a virtual replica of a real object or process that reflects its state in real time. The technologies and methods of creating a digital twin of meteorological conditions for a particular city are analyzed. The importance and prospects of creating a digital twin in meteorological forecasting for a smart city on a mobile platform are also presented. The paper discusses the design of an application that allows users to provide easy access to up-to-date information on air quality and weather forecasts for different areas of the city, which is becoming especially important due to the growing environmental problems and climate change. It highlights the use of Swift programming languages and the MapKit and Alamofire frameworks to implement the application’s functionality, as well as the advantages of the SwiftUI language for rapid development of the front-end. Thus, the digital twin, which reflects the real weather forecasting process, plays a key role in the application, providing users with access to up-to-date weather data and helping them make objective decisions about the impact of climate on health and the environment.
文章讨论了数字孪生概念在天气预报领域的应用，以创建智慧城市。数字孪生是真实物体或过程的虚拟复制品，能实时反映其状态。本文分析了为特定城市创建气象条件数字孪生的技术和方法。还介绍了在移动平台上为智慧城市气象预报创建数字孪生的重要性和前景。论文讨论了应用程序的设计，该应用程序允许用户轻松获取城市不同区域的最新空气质量和天气预报信息，由于环境问题和气候变化日益严重，这一点变得尤为重要。它强调了使用 Swift 编程语言以及 MapKit 和 Alamofire 框架来实现应用程序的功能，以及 SwiftUI 语言在快速开发前端方面的优势。因此，反映真实天气预报过程的数字孪生在应用程序中发挥了关键作用，为用户提供了获取最新天气数据的途径，并帮助他们就气候对健康和环境的影响做出客观决策。
{"title":"Creating a digital twin in meteorological forecasting for a smart city on a mobile platform","authors":"V.O. Haidukevych, A. Doroshenko","doi":"10.15407/pp2023.03.040","DOIUrl":"https://doi.org/10.15407/pp2023.03.040","url":null,"abstract":"The article discusses the application of the concept of a digital twin in the field of weather forecasting to create a smart city. A digital twin is a virtual replica of a real object or process that reflects its state in real time. The technologies and methods of creating a digital twin of meteorological conditions for a particular city are analyzed. The importance and prospects of creating a digital twin in meteorological forecasting for a smart city on a mobile platform are also presented. The paper discusses the design of an application that allows users to provide easy access to up-to-date information on air quality and weather forecasts for different areas of the city, which is becoming especially important due to the growing environmental problems and climate change. It highlights the use of Swift programming languages and the MapKit and Alamofire frameworks to implement the application’s functionality, as well as the advantages of the SwiftUI language for rapid development of the front-end. Thus, the digital twin, which reflects the real weather forecasting process, plays a key role in the application, providing users with access to up-to-date weather data and helping them make objective decisions about the impact of climate on health and the environment.","PeriodicalId":508096,"journal":{"name":"PROBLEMS IN PROGRAMMING","volume":"24 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139346668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The article deals with the issue of automating the planning of forces, means and resources used in the process of countering an emergency situation. A formal description of the task of planning forces, means and resources is provided, and it is justified that this task includes two interrelated tasks, which involve the assessment of the potential capabilities of the analyzed region in terms of the available forces, means and resources for countering an emergency situation and the generation of options for groupings of forces , means and resources functionally sufficient to counteract the analyzed emergency situation, taking into account the set of restrictions. The issue of automating the solution of the problems of assessing the potential opportunities of the region and generating variants of groupings of forces, means and resources is considered in detail. The main functions of the ANALYSIS and SYNTHESIS systems, by means of which these tasks are solved, are characterized. It is substantiated that thanks to the solution of these problems, the adaptation of the electronic action plan to the real possibilities of the region is ensured.
{"title":"The problem of automating the planning of forces, means and resources for management of counteraction of emergency situations","authors":"A. Yalovets","doi":"10.15407/pp2023.03.058","DOIUrl":"https://doi.org/10.15407/pp2023.03.058","url":null,"abstract":"The article deals with the issue of automating the planning of forces, means and resources used in the process of countering an emergency situation. A formal description of the task of planning forces, means and resources is provided, and it is justified that this task includes two interrelated tasks, which involve the assessment of the potential capabilities of the analyzed region in terms of the available forces, means and resources for countering an emergency situation and the generation of options for groupings of forces , means and resources functionally sufficient to counteract the analyzed emergency situation, taking into account the set of restrictions. The issue of automating the solution of the problems of assessing the potential opportunities of the region and generating variants of groupings of forces, means and resources is considered in detail. The main functions of the ANALYSIS and SYNTHESIS systems, by means of which these tasks are solved, are characterized. It is substantiated that thanks to the solution of these problems, the adaptation of the electronic action plan to the real possibilities of the region is ensured.","PeriodicalId":508096,"journal":{"name":"PROBLEMS IN PROGRAMMING","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139344230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
I. Sinitsyn, P. Ignatenko, R. Fedorenko, O.B. Gitkevich
Specific problems of the National Academy of Sciences (NAS) of Ukraine Scientific Institutions’ administrative-managerial activity (AMA) informatization is analyzed. Seven reference AMA Information Technologies (IT) are proposed for scientific-organizational, progress, staffing and accounting Institutions’ services. Industrially tested tools are investigated for AMA IT automated support. National software platform UnityBase with A5 SYSTEMS Application is substantiated as a tool for first stage of informatization. Approach for managing NAS of Ukraine Scientific Institutions informatization based on UnityBase platform is proposed. It is based on innovative management methodology, namely Appreciative Inquiry, – to cope with organizational resistance concerning informatization and elaborate its effective strategy.
对乌克兰国家科学院（NAS）科学机构行政管理活动（AMA）信息化的具体问题进行了分析。为科学机构的科学组织、进度、人员配备和会计服务提出了七种参考的AMA信息技术（IT）。对经过工业测试的工具进行了研究，以实现AMA信息技术的自动化支持。带有 A5 SYSTEMS 应用程序的国家软件平台 UnityBase 被证明是信息化第一阶段的工具。提出了基于 UnityBase 平台的乌克兰科学机构国家科学院信息化管理方法。该方法基于创新的管理方法，即 "欣赏式探询"--以应对组织在信息化方面的阻力并制定有效的战略。
{"title":"Problems of information technologies automation for the NAS of Ukraine scientific institutions’ administrative-managerial activity and approaches to solve them","authors":"I. Sinitsyn, P. Ignatenko, R. Fedorenko, O.B. Gitkevich","doi":"10.15407/pp2023.03.005","DOIUrl":"https://doi.org/10.15407/pp2023.03.005","url":null,"abstract":"Specific problems of the National Academy of Sciences (NAS) of Ukraine Scientific Institutions’ administrative-managerial activity (AMA) informatization is analyzed. Seven reference AMA Information Technologies (IT) are proposed for scientific-organizational, progress, staffing and accounting Institutions’ services. Industrially tested tools are investigated for AMA IT automated support. National software platform UnityBase with A5 SYSTEMS Application is substantiated as a tool for first stage of informatization. Approach for managing NAS of Ukraine Scientific Institutions informatization based on UnityBase platform is proposed. It is based on innovative management methodology, namely Appreciative Inquiry, – to cope with organizational resistance concerning informatization and elaborate its effective strategy.","PeriodicalId":508096,"journal":{"name":"PROBLEMS IN PROGRAMMING","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139343958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
I. Sinitsyn, V.L. Shevchenko, А.Yu. Doroshenko, O. Yatsenko
The problem of security in energy sector is an important aspect for Ukraine. The purpose of monitoring in this area is to optimize the flow of electricity between market participants, between European partners and Ukraine. It is critically important to maintain a balance between producers and consumers of energy. Both over and undersupply of energy represent risks to infrastructure. The previously available wholesale electricity market model with single buyer has been replaced by a model based on bilateral, day-ahead and intraday markets, as well as balancing and ancillary services markets. Now the participants can freely trade electricity and energy companies can provide services that provide stability of the energy system and supply electricity to the final consumer. The demand forecasting in electricity markets is one of the components that must be implemented for successful business operations and optimization of business processes. Based on the model of the Institute of problems of modeling electricity engineering of NANU, the paper sets out the task of developing a software system for forecasting threats in the energy sector of Ukraine using machine learning methods. Experiments were conducted on the application of regression methods to restore a column with data from bilateral contracts for the task of forecasting electricity generation and consumption. The results of the application of machine learning algorithms on peacetime data demonstrated that it is possible to predict market volumes and tariff plans one hour in advance with a good accuracy which allows to go beyond one-day planning in the future.
{"title":"Research of software solutions for forecasting electricity generation and consumption in Ukraine that are based on machine learning methods","authors":"I. Sinitsyn, V.L. Shevchenko, А.Yu. Doroshenko, O. Yatsenko","doi":"10.15407/pp2023.03.099","DOIUrl":"https://doi.org/10.15407/pp2023.03.099","url":null,"abstract":"The problem of security in energy sector is an important aspect for Ukraine. The purpose of monitoring in this area is to optimize the flow of electricity between market participants, between European partners and Ukraine. It is critically important to maintain a balance between producers and consumers of energy. Both over and undersupply of energy represent risks to infrastructure. The previously available wholesale electricity market model with single buyer has been replaced by a model based on bilateral, day-ahead and intraday markets, as well as balancing and ancillary services markets. Now the participants can freely trade electricity and energy companies can provide services that provide stability of the energy system and supply electricity to the final consumer. The demand forecasting in electricity markets is one of the components that must be implemented for successful business operations and optimization of business processes. Based on the model of the Institute of problems of modeling electricity engineering of NANU, the paper sets out the task of developing a software system for forecasting threats in the energy sector of Ukraine using machine learning methods. Experiments were conducted on the application of regression methods to restore a column with data from bilateral contracts for the task of forecasting electricity generation and consumption. The results of the application of machine learning algorithms on peacetime data demonstrated that it is possible to predict market volumes and tariff plans one hour in advance with a good accuracy which allows to go beyond one-day planning in the future.","PeriodicalId":508096,"journal":{"name":"PROBLEMS IN PROGRAMMING","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139344832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. Grygoryan, A. Degoda, T.V. Lyudovyk, O. Yurchak
Special quantitative model of the human thermoregulatory system (MTS) functioning with cardiovascular and lung systems is created. These systems form a human physiological supersystem (HPSS). MTS describes thermoregulatory responses to alterations of both external environmental physical characteristics and internal biological characteristics. Algorithms provide designing of scenarios including simulation of either short-time or long-time (hours or days) observations. Input data include different combinations of environmental variables (air or water temperature, air humidity, wind or water flow speed, light intensity, infrared radiation) for a naked or wear human, as well as for given dynamics of biological characteristics (rate of heat production including its components associated with metabolism and ATP molecules leasing during mental and physical activities). Human body is presented by a core, blood, and a skin compartments. Skin and lung evaporation are under hypothalamic control based on afferent impulse patterns from internal, and skin heat and cold receptors. Dynamic output data include blood, hypothalamic, and skin temperatures, hemodynamic parameters like heart rate, cardiac output, regional blood flows, vascular resistances, blood pressures, and regional blood volumes. Serotonin and melatonin concentrations modulating biological heat production rate are associated with a day/night light intensity. Currently, the PCbased simulator is autonomous software to be used both for educational purposes and for providing of special computer research. In a near future, this simulator has to be widened by models of kidneys, and a mechanism of liverpancreas interaction.
建立了人体体温调节系统（MTS）与心血管系统和肺部系统功能的特殊定量模型。这些系统构成了人体生理超级系统（HPSS）。MTS 描述了体温调节系统对外部环境物理特征和内部生物特征变化的反应。该算法可设计各种情景，包括模拟短时间或长时间（数小时或数天）的观察结果。输入数据包括裸体或穿戴人体的不同环境变量组合（空气或水温、空气湿度、风速或水流速度、光照强度、红外辐射），以及给定的生物特征动态（产热率，包括与新陈代谢相关的热量成分，以及脑力和体力活动中的 ATP 分子租赁）。人体由内核、血液和皮肤组成。皮肤和肺的蒸发受下丘脑的控制，而下丘脑的控制则基于内部和皮肤冷热感受器的传入冲动模式。动态输出数据包括血液、下丘脑和皮肤温度，以及心率、心输出量、区域血流量、血管阻力、血压和区域血容量等血液动力学参数。调节生物产热率的血清素和褪黑素浓度与昼夜光照强度相关联。目前，基于 PC 的模拟器是自主软件，既可用于教育目的，也可用于特殊计算机研究。在不久的将来，该模拟器还将增加肾脏模型和肝胰脏相互作用机制。
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