Pub Date : 2015-04-29DOI: 10.1109/SGCF.2015.7354930
M. A. Zehir, M. Bagriyanik
Expanding distributed generation systems, advancing energy storage options and innovative approaches in the area of demand management open new doors in grid operation. Grid-responsive devices can be considered as Distributed Energy Resources (DERs) and used to form Virtual Power Plants (VPPs). Because the aim is to benefit from many assets that have individual primary tasks and operational constraints, advanced planning and management approaches are needed. In this study SEAN, an advanced management system that can be used for coordinating huge number of DERs in VPP applications is proposed. The designed system is aimed to meet supply/demand mismatches, benefiting from various types of storage systems and controllable loads. As a response to an event happening on the grid, both pre-planned and real-time scheduling and coordination tasks are aimed to be handled. During the coordination process, calculations and control actions are tried to be kept as minimal as possible for effective operation.
{"title":"Smart energy aggregation network (SEAN): An advanced management system for using distributed energy resources in virtual power plant applications","authors":"M. A. Zehir, M. Bagriyanik","doi":"10.1109/SGCF.2015.7354930","DOIUrl":"https://doi.org/10.1109/SGCF.2015.7354930","url":null,"abstract":"Expanding distributed generation systems, advancing energy storage options and innovative approaches in the area of demand management open new doors in grid operation. Grid-responsive devices can be considered as Distributed Energy Resources (DERs) and used to form Virtual Power Plants (VPPs). Because the aim is to benefit from many assets that have individual primary tasks and operational constraints, advanced planning and management approaches are needed. In this study SEAN, an advanced management system that can be used for coordinating huge number of DERs in VPP applications is proposed. The designed system is aimed to meet supply/demand mismatches, benefiting from various types of storage systems and controllable loads. As a response to an event happening on the grid, both pre-planned and real-time scheduling and coordination tasks are aimed to be handled. During the coordination process, calculations and control actions are tried to be kept as minimal as possible for effective operation.","PeriodicalId":236483,"journal":{"name":"2015 3rd International Istanbul Smart Grid Congress and Fair (ICSG)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114013335","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}
Pub Date : 2015-04-29DOI: 10.1109/SGCF.2015.7354915
Yusuf Sonmez, U. Guvenc, H. Kahraman, C. Yilmaz
This study aims to improve the energy performance of residential buildings. heating load (HL) and cooling load (CL) are considered as a measure of heating ventilation and air conditioning (HVAC) system in this process. In order to achive an effective estimation, hybrid machine learning algorithms including, artificial bee colony-based k-nearest neighbor (abc-knn), genetic algorithm-based knn (ga-knn), adaptive artificial neural network with genetic algorithm (ga-ann) and adaptive ann with artificial bee colony (abc-ann) are used. Results are compared classical knn and ann methods. Thence, relations between input and target parameters are defined and performance of well-known classical knn and ann is improved substantialy.
{"title":"A comperative study on novel machine learning algorithms for estimation of energy performance of residential buildings","authors":"Yusuf Sonmez, U. Guvenc, H. Kahraman, C. Yilmaz","doi":"10.1109/SGCF.2015.7354915","DOIUrl":"https://doi.org/10.1109/SGCF.2015.7354915","url":null,"abstract":"This study aims to improve the energy performance of residential buildings. heating load (HL) and cooling load (CL) are considered as a measure of heating ventilation and air conditioning (HVAC) system in this process. In order to achive an effective estimation, hybrid machine learning algorithms including, artificial bee colony-based k-nearest neighbor (abc-knn), genetic algorithm-based knn (ga-knn), adaptive artificial neural network with genetic algorithm (ga-ann) and adaptive ann with artificial bee colony (abc-ann) are used. Results are compared classical knn and ann methods. Thence, relations between input and target parameters are defined and performance of well-known classical knn and ann is improved substantialy.","PeriodicalId":236483,"journal":{"name":"2015 3rd International Istanbul Smart Grid Congress and Fair (ICSG)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125417850","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}
Pub Date : 2015-04-29DOI: 10.1109/SGCF.2015.7354926
Gurkan Tuna, Esra Kaya, K. Gulez, G. Kiokes, V. C. Gungor
Smart Grid (SG) can be described as the concept of modernizing the traditional electrical grid. Through the addition of SG technologies traditional electrical grids become more flexible, robust and interactive, and are able to provide real time feedback by employing innovative services and products together with communication, control, intelligent monitoring, and self-healing technologies. For being fully functional, utility operators deploy various SG applications to handle the key requirements including delivery optimization, demand optimization and asset optimization needs. The SG applications can be categorized into two main classes: grid-focused applications and customer-focused applications. Although these applications differ in terms of security, Quality of Service (QoS) and reliability, their common requirement is a communication infrastructure. In this paper, we focus on the use of Next Generation Networks (NGNs) for SG applications. We also present a detailed analysis of a NGN-based communication infrastructure for SG applications in terms of global network statistics and node-level statistics.
{"title":"Performance evaluations of next generation networks for smart grid applications","authors":"Gurkan Tuna, Esra Kaya, K. Gulez, G. Kiokes, V. C. Gungor","doi":"10.1109/SGCF.2015.7354926","DOIUrl":"https://doi.org/10.1109/SGCF.2015.7354926","url":null,"abstract":"Smart Grid (SG) can be described as the concept of modernizing the traditional electrical grid. Through the addition of SG technologies traditional electrical grids become more flexible, robust and interactive, and are able to provide real time feedback by employing innovative services and products together with communication, control, intelligent monitoring, and self-healing technologies. For being fully functional, utility operators deploy various SG applications to handle the key requirements including delivery optimization, demand optimization and asset optimization needs. The SG applications can be categorized into two main classes: grid-focused applications and customer-focused applications. Although these applications differ in terms of security, Quality of Service (QoS) and reliability, their common requirement is a communication infrastructure. In this paper, we focus on the use of Next Generation Networks (NGNs) for SG applications. We also present a detailed analysis of a NGN-based communication infrastructure for SG applications in terms of global network statistics and node-level statistics.","PeriodicalId":236483,"journal":{"name":"2015 3rd International Istanbul Smart Grid Congress and Fair (ICSG)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126686002","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}
Pub Date : 2015-04-29DOI: 10.1109/SGCF.2015.7354932
H. Nezamabadi, V. Vahidinasab
Considering the geographic location and the network constraints, technical virtual power plants (TVPPs) integrate distributed energy resources (DERs), including distributed generations (DGs) and demand response (DR) programs, into the distribution system. Therefore, TVPPs facilitate the active participation of DERs in the electricity markets and the optimal operation of them. In this paper, a two stage model for decision making of TVPP is proposed. In the first stage, TVPP minimize its cost with a non-linear programming (NLP). In this stage, DG and DR constraints (i.e. limitations of DG generation and maximum load curtailment) and distribution system constraints (i.e. AC power flows and voltage limits) are considered. In the second stage, the strategic behavior of each supplier is represented via a Supply Function Equilibrium (SFE) model. Therefore, the bidding strategy of TVPP is represented in an intraday electricity market via Nash-SFE. A uniform pricing mechanism is assumed for the market settlement and calculating the supplier profit from selling energy. A typical distribution test system is considered as a TVPP which is connected to the upstream network at a point of common coupling (PCC). Participation of TVPP is investigated in three different load levels of a day. It is demonstrated that the TVPP can get a greater share in electricity market with demand increasing.
{"title":"Two stage decision making of technical virtual power plants in electricity market via Nash-SFE equilibrium","authors":"H. Nezamabadi, V. Vahidinasab","doi":"10.1109/SGCF.2015.7354932","DOIUrl":"https://doi.org/10.1109/SGCF.2015.7354932","url":null,"abstract":"Considering the geographic location and the network constraints, technical virtual power plants (TVPPs) integrate distributed energy resources (DERs), including distributed generations (DGs) and demand response (DR) programs, into the distribution system. Therefore, TVPPs facilitate the active participation of DERs in the electricity markets and the optimal operation of them. In this paper, a two stage model for decision making of TVPP is proposed. In the first stage, TVPP minimize its cost with a non-linear programming (NLP). In this stage, DG and DR constraints (i.e. limitations of DG generation and maximum load curtailment) and distribution system constraints (i.e. AC power flows and voltage limits) are considered. In the second stage, the strategic behavior of each supplier is represented via a Supply Function Equilibrium (SFE) model. Therefore, the bidding strategy of TVPP is represented in an intraday electricity market via Nash-SFE. A uniform pricing mechanism is assumed for the market settlement and calculating the supplier profit from selling energy. A typical distribution test system is considered as a TVPP which is connected to the upstream network at a point of common coupling (PCC). Participation of TVPP is investigated in three different load levels of a day. It is demonstrated that the TVPP can get a greater share in electricity market with demand increasing.","PeriodicalId":236483,"journal":{"name":"2015 3rd International Istanbul Smart Grid Congress and Fair (ICSG)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127488022","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}
Pub Date : 2015-04-29DOI: 10.1109/SGCF.2015.7354920
O. Mengi, I. Altas
In this paper, a combined photovoltaic (PV) solar panels (PVSP) and Super capacitor (SC) renewable power generating unit feeding 3-phase, 380V/ 50 Hz loads is studied. The renewable power generation unit is operated as an off-grid setup. SC is used to maintain the required load power demand during lower power generation stages by PV system due to changes in environmental conditions. It is aimed to have clean power at stable frequency and voltage on the loads. The voltage on loads in the system is controlled by both Proportional-Integral (PI) and Fuzzy Tuned PI (FTPI). A comparison is made for the performance of these controllers to select the one that has better applicable properties. The complete setup contains PVSP, SC, filters, inverter, controllers, measurement devices and loads. All of the subsystem models are developed and combined using operational blocks of MATLAB/Simulink to obtain the overall system model.
{"title":"An off-grid PV/SC green energy production system","authors":"O. Mengi, I. Altas","doi":"10.1109/SGCF.2015.7354920","DOIUrl":"https://doi.org/10.1109/SGCF.2015.7354920","url":null,"abstract":"In this paper, a combined photovoltaic (PV) solar panels (PVSP) and Super capacitor (SC) renewable power generating unit feeding 3-phase, 380V/ 50 Hz loads is studied. The renewable power generation unit is operated as an off-grid setup. SC is used to maintain the required load power demand during lower power generation stages by PV system due to changes in environmental conditions. It is aimed to have clean power at stable frequency and voltage on the loads. The voltage on loads in the system is controlled by both Proportional-Integral (PI) and Fuzzy Tuned PI (FTPI). A comparison is made for the performance of these controllers to select the one that has better applicable properties. The complete setup contains PVSP, SC, filters, inverter, controllers, measurement devices and loads. All of the subsystem models are developed and combined using operational blocks of MATLAB/Simulink to obtain the overall system model.","PeriodicalId":236483,"journal":{"name":"2015 3rd International Istanbul Smart Grid Congress and Fair (ICSG)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128471093","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}
Pub Date : 2015-04-29DOI: 10.1109/SGCF.2015.7354922
Y. Biçer, C. Ozarpa, Y. Boke
In today's world, customer expectations have increased rapidly especially on technological products. Satisfying the related standards and tests has become a major role in marketing. As solar energy continues to develop, the necessity of quality PV (photovoltaic) modules become more crucial. In order to assure high quality, testing of PV modules and certification process is a critical step. If testing and certification is held outside the country, there is a high amount of money going out of country. In this paper, the importance of local testing and certification bodies are emphasized by calculating economic analyses and comparing the amount of money saved in case of local institutions are utilized.
{"title":"Economic analyses of PV certification and inspection processes for smart grid integrated PV power plants and benefits of domestic institutions","authors":"Y. Biçer, C. Ozarpa, Y. Boke","doi":"10.1109/SGCF.2015.7354922","DOIUrl":"https://doi.org/10.1109/SGCF.2015.7354922","url":null,"abstract":"In today's world, customer expectations have increased rapidly especially on technological products. Satisfying the related standards and tests has become a major role in marketing. As solar energy continues to develop, the necessity of quality PV (photovoltaic) modules become more crucial. In order to assure high quality, testing of PV modules and certification process is a critical step. If testing and certification is held outside the country, there is a high amount of money going out of country. In this paper, the importance of local testing and certification bodies are emphasized by calculating economic analyses and comparing the amount of money saved in case of local institutions are utilized.","PeriodicalId":236483,"journal":{"name":"2015 3rd International Istanbul Smart Grid Congress and Fair (ICSG)","volume":"318 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124292111","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}
Pub Date : 2015-04-29DOI: 10.1109/SGCF.2015.7354929
A. Dunay
Privatization and liberalization processes established the business environment in Hungary where utilities operate. This environment is featured by real owner approach, decreasing sources and regulatory requirements getting stricter. Beside the external factors significant internal aspects play a part: for the sake of long term sustainability halting of the network aging is a critical task Further particular aspect is that many utilities have collected and managed technical, condition, event and work data in a structured way. By now these have reached the critical mass and quality that enable the use of these data in planning. Because of the large number of assets manual evaluation of these is not efficient. The usage of the decision support system can improve the efficiency that ensures a unified approach, a repeatable and automatic evaluation. Geometria developed a decision support system (DSS) for supporting capital maintenance program planning. This applies risk based approach and fuzzy logic for the evaluation of the asset risk The system is implemented at ELMÜ-ÉMÁSZ DSO (an RWE-EnBW affiliate, Budapest).
{"title":"Smart asset management: Risk based maintenance planning with fuzzy logic","authors":"A. Dunay","doi":"10.1109/SGCF.2015.7354929","DOIUrl":"https://doi.org/10.1109/SGCF.2015.7354929","url":null,"abstract":"Privatization and liberalization processes established the business environment in Hungary where utilities operate. This environment is featured by real owner approach, decreasing sources and regulatory requirements getting stricter. Beside the external factors significant internal aspects play a part: for the sake of long term sustainability halting of the network aging is a critical task Further particular aspect is that many utilities have collected and managed technical, condition, event and work data in a structured way. By now these have reached the critical mass and quality that enable the use of these data in planning. Because of the large number of assets manual evaluation of these is not efficient. The usage of the decision support system can improve the efficiency that ensures a unified approach, a repeatable and automatic evaluation. Geometria developed a decision support system (DSS) for supporting capital maintenance program planning. This applies risk based approach and fuzzy logic for the evaluation of the asset risk The system is implemented at ELMÜ-ÉMÁSZ DSO (an RWE-EnBW affiliate, Budapest).","PeriodicalId":236483,"journal":{"name":"2015 3rd International Istanbul Smart Grid Congress and Fair (ICSG)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129050222","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}
Pub Date : 2015-04-29DOI: 10.1109/SGCF.2015.7354917
Cemal Keleş, B. Alagoz, A. Kaygusuz
Demand side load management (DSLM) applications improve grid flexibility and support intermittent renewable energy utilization. In this study, we discuss role of power limited load shedding algorithm for DSLM applications in domestic scales. By using this algorithm, domestic power consumption is limited with respect to dynamic electricity price signal and renewable energy generation level by switching off the low prior home electronics appliances (HEAs). The proposed load shedding scheme performs depending on power requirements of HEAs and their user priority presetting. In this study, power limited load shedding algorithm is improved to consider operation modes, which are grid mode, islanded mode and grid+renewable energy (RE) mode and effects of the proposed scheme on domestic consumption is discussed by using simulation results.
{"title":"A note on demand side load management by maximum power limited load shedding algorithm for smart grids","authors":"Cemal Keleş, B. Alagoz, A. Kaygusuz","doi":"10.1109/SGCF.2015.7354917","DOIUrl":"https://doi.org/10.1109/SGCF.2015.7354917","url":null,"abstract":"Demand side load management (DSLM) applications improve grid flexibility and support intermittent renewable energy utilization. In this study, we discuss role of power limited load shedding algorithm for DSLM applications in domestic scales. By using this algorithm, domestic power consumption is limited with respect to dynamic electricity price signal and renewable energy generation level by switching off the low prior home electronics appliances (HEAs). The proposed load shedding scheme performs depending on power requirements of HEAs and their user priority presetting. In this study, power limited load shedding algorithm is improved to consider operation modes, which are grid mode, islanded mode and grid+renewable energy (RE) mode and effects of the proposed scheme on domestic consumption is discussed by using simulation results.","PeriodicalId":236483,"journal":{"name":"2015 3rd International Istanbul Smart Grid Congress and Fair (ICSG)","volume":"166 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121342927","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}
Pub Date : 2015-04-29DOI: 10.1109/SGCF.2015.7354923
Yunus Biçen
This paper presents lifetime monitoring algorithm available for critical substation equipment. In the remaining life calculation stage, two proposed methods named the weighted moving average - based monitoring and the trend adjusted (double) exponential smoothing - based monitoring introduced, respectively. Both methods are evaluated for various cases and the validity of the first methods tested on the prototype transformer, experimentally. However, the second newly method has advantages such as wide forecast range, trend determination capability and insensitive to short term fluctuations. These methods with the algorithms are applicable for the instrument or its parts that aging characteristics can be expressed by the empirical equations under certain stress/stresses.
{"title":"Monitoring of critical substation equipment","authors":"Yunus Biçen","doi":"10.1109/SGCF.2015.7354923","DOIUrl":"https://doi.org/10.1109/SGCF.2015.7354923","url":null,"abstract":"This paper presents lifetime monitoring algorithm available for critical substation equipment. In the remaining life calculation stage, two proposed methods named the weighted moving average - based monitoring and the trend adjusted (double) exponential smoothing - based monitoring introduced, respectively. Both methods are evaluated for various cases and the validity of the first methods tested on the prototype transformer, experimentally. However, the second newly method has advantages such as wide forecast range, trend determination capability and insensitive to short term fluctuations. These methods with the algorithms are applicable for the instrument or its parts that aging characteristics can be expressed by the empirical equations under certain stress/stresses.","PeriodicalId":236483,"journal":{"name":"2015 3rd International Istanbul Smart Grid Congress and Fair (ICSG)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125977592","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}
Pub Date : 2015-04-29DOI: 10.1109/SGCF.2015.7354928
Muhammed Yasin Ishik, Tolga Goze, Ihsan Ozcan, V. C. Gungor, Z. Aydın
With the recent developments in energy sector, the pricing of electricity is now governed by the spot market where a variety of market mechanisms are effective. After the new legislation of market liberalization in Turkey, competition-based on hourly price has received a growing interest in the energy market, which necessitated generators and electric utility companies to add new dimensions to their scope of operation: short-term load and price forecasting. The field has several opportunities though not free from challenges. The dynamic behavior of the market price has caused the electric load to become variable and non-stationary. Furthermore, the number of nodes, in which the load must be predicted, is not constant anymore and can no longer be estimated by experts alone. In this competitive scenario, statistical forecasting methods that can automatically and accurately process thousands of data samples are essential. The purpose of this study is to demonstrate the importance of short-term load forecasting, how it has received a growing interest in Turkey and to propose an artificial neural network that can forecast the short term electricity load. Through detailed performance evaluations, we demonstrate that our forecasting method is capable of predicting the hourly load accurately.
{"title":"Short term electricity load forecasting: A case study of electric utility market in Turkey","authors":"Muhammed Yasin Ishik, Tolga Goze, Ihsan Ozcan, V. C. Gungor, Z. Aydın","doi":"10.1109/SGCF.2015.7354928","DOIUrl":"https://doi.org/10.1109/SGCF.2015.7354928","url":null,"abstract":"With the recent developments in energy sector, the pricing of electricity is now governed by the spot market where a variety of market mechanisms are effective. After the new legislation of market liberalization in Turkey, competition-based on hourly price has received a growing interest in the energy market, which necessitated generators and electric utility companies to add new dimensions to their scope of operation: short-term load and price forecasting. The field has several opportunities though not free from challenges. The dynamic behavior of the market price has caused the electric load to become variable and non-stationary. Furthermore, the number of nodes, in which the load must be predicted, is not constant anymore and can no longer be estimated by experts alone. In this competitive scenario, statistical forecasting methods that can automatically and accurately process thousands of data samples are essential. The purpose of this study is to demonstrate the importance of short-term load forecasting, how it has received a growing interest in Turkey and to propose an artificial neural network that can forecast the short term electricity load. Through detailed performance evaluations, we demonstrate that our forecasting method is capable of predicting the hourly load accurately.","PeriodicalId":236483,"journal":{"name":"2015 3rd International Istanbul Smart Grid Congress and Fair (ICSG)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131769989","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：