Pub Date : 2017-10-01DOI: 10.4018/IJEOE.2017100103
S. Sami, Sihem Nasri, B. Zafar, A. Cherif
{"title":"Multi-Input Single-Output State Space for Hybrid Power System Approach Using PEMFC: Fuel Cell and Applications","authors":"S. Sami, Sihem Nasri, B. Zafar, A. Cherif","doi":"10.4018/IJEOE.2017100103","DOIUrl":"https://doi.org/10.4018/IJEOE.2017100103","url":null,"abstract":"","PeriodicalId":246250,"journal":{"name":"Int. J. Energy Optim. Eng.","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123436400","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 : 2017-10-01DOI: 10.4018/IJEOE.2017100105
A. Anand, L. Suganthi
Developing economies need to invest in energy projects. Because the gestation period of the electric projects is high, it is of paramount importance to accurately forecast the energy requirements. In the present paper, the future energy demand of the state of Tamil Nadu in India, is forecasted using an artificial neural network (ANN) optimized by particle swarm optimization (PSO) and by Genetic Algorithm (GA). Hybrid ANN Models have the potential to provide forecasts that perform well compared to the more traditional modelling approaches. The forecasted results obtained using the hybrid ANN-PSO models are compared with those of the ARIMA, hybrid ANN-GA, ANN-BP and linear models. Both PSO and GA have been developed in linear and quadratic forms and the hybrid ANN models have been applied to five-time series. Amongst all the hybrid ANN models, ANN-PSO models are the best fit models in all the time series based on RMSE and MAPE.
{"title":"Forecasting of Electricity Demand by Hybrid ANN-PSO Models","authors":"A. Anand, L. Suganthi","doi":"10.4018/IJEOE.2017100105","DOIUrl":"https://doi.org/10.4018/IJEOE.2017100105","url":null,"abstract":"Developing economies need to invest in energy projects. Because the gestation period of the electric projects is high, it is of paramount importance to accurately forecast the energy requirements. In the present paper, the future energy demand of the state of Tamil Nadu in India, is forecasted using an artificial neural network (ANN) optimized by particle swarm optimization (PSO) and by Genetic Algorithm (GA). Hybrid ANN Models have the potential to provide forecasts that perform well compared to the more traditional modelling approaches. The forecasted results obtained using the hybrid ANN-PSO models are compared with those of the ARIMA, hybrid ANN-GA, ANN-BP and linear models. Both PSO and GA have been developed in linear and quadratic forms and the hybrid ANN models have been applied to five-time series. Amongst all the hybrid ANN models, ANN-PSO models are the best fit models in all the time series based on RMSE and MAPE.","PeriodicalId":246250,"journal":{"name":"Int. J. Energy Optim. Eng.","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126237116","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}
{"title":"Robustness of US Economy and Energy Supply/Demand Fluctuations","authors":"A. Aslani, M. Niknejad, A. Maghami","doi":"10.4018/IJEOE.2017100101","DOIUrl":"https://doi.org/10.4018/IJEOE.2017100101","url":null,"abstract":"Energyhasastrategicroleinsocialandeconomicdevelopmentofthecountries.Duetothehigh dependencyofenergysupplyonfossilfuels,fluctuationsinpricesandsupplyhavemacro/microeconomics effects for both energy exporters and importers. Therefore, understanding economic stabilitybasedonenergymarketchangesisanimportantsubjectforpolicymakersandresearchers. TheUS,asthefirstenergyconsumerintheworld,isaninterestingcountrytoanalyzetherelationships ofeconomicsrobustnesswithfossilfueleconomic-fluctuations.Whilethecountryhasoneofthe pioneersindomesticenergyutilization,thecompetitivenessofthecountryishighlydependenton energyprices.Inthispaper,theresearchersinvestigatetheeffectsofenergychangesontheeconomics oftheUS.First,theimpactofoilpriceonmacro-economicparametersisdiscussed.Afterthat,the mainissuesrelatedtoenergyeconomicsincludingresilienceoftheenergysector,energypolicies, economicsanalysisoftheenergysector,electricitymarketsarediscussed. KEywORDS Energy Economics, Macro-Economics, Robustness, US","PeriodicalId":246250,"journal":{"name":"Int. J. Energy Optim. Eng.","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122387579","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 : 2017-10-01DOI: 10.4018/IJEOE.2017100104
P. Tiwari, Sandeep Joshi
{"title":"An Empirical Result Analysis of Dynamic Weighted Live Migration Mechanism for Load Balancing in Cloud Computing","authors":"P. Tiwari, Sandeep Joshi","doi":"10.4018/IJEOE.2017100104","DOIUrl":"https://doi.org/10.4018/IJEOE.2017100104","url":null,"abstract":"","PeriodicalId":246250,"journal":{"name":"Int. J. Energy Optim. Eng.","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121064590","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 : 2017-07-01DOI: 10.4018/IJEOE.2017070101
T. Nguyen, D. Vo, P. Vasant
{"title":"Symbiotic Organism Search Algorithm for Optimal Size and Siting of Distributed Generators in Distribution Systems","authors":"T. Nguyen, D. Vo, P. Vasant","doi":"10.4018/IJEOE.2017070101","DOIUrl":"https://doi.org/10.4018/IJEOE.2017070101","url":null,"abstract":"","PeriodicalId":246250,"journal":{"name":"Int. J. Energy Optim. Eng.","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116839262","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 : 2017-07-01DOI: 10.4018/IJEOE.2017070105
S. Hosseini, A. Aslani, M. Naaranoja, Hamed Hafeznia
{"title":"Analysis of Energy System in Sweden Based on Time series Forecasting and Regression Analysis","authors":"S. Hosseini, A. Aslani, M. Naaranoja, Hamed Hafeznia","doi":"10.4018/IJEOE.2017070105","DOIUrl":"https://doi.org/10.4018/IJEOE.2017070105","url":null,"abstract":"","PeriodicalId":246250,"journal":{"name":"Int. J. Energy Optim. Eng.","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125673789","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：