Art

J-GLOBAL ID：201902293517232990   Reference number：19A1277448

Short-Term Forecasting of the Output Power of a Building-Integrated Photovoltaic System Using a Metaheuristic Approach

メタヒューリスティクス手法を用いたビル統合太陽光発電システムの出力電力の短期予測【JST・京大機械翻訳】

Author (8)： Seyedmahmoudian Mehdi (School of Software and Electrical Engineering, Swinburne University of Technology, Melbourne VIC 3122, Victoria, Australia) ,  Jamei Elmira (College of Engineering and Science, Victoria University, Melbourne VIC 3011, Victoria, Australia) ,  Thirunavukkarasu Gokul Sidarth (School of Engineering, Deakin University, Geelong VIC 3216, Victoria, Australia) ,  Soon Tey Kok (Department of Computer System and Technology, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur 50603, Malaysia) ,  Mortimer Michael (School of Engineering, Deakin University, Geelong VIC 3216, Victoria, Australia) ,  Horan Ben (School of Engineering, Deakin University, Geelong VIC 3216, Victoria, Australia) ,  Stojcevski Alex (School of Software and Electrical Engineering, Swinburne University of Technology, Melbourne VIC 3122, Victoria, Australia) ,  Mekhilef Saad (Department of Electrical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia)
Material： Energies (Web)
Volume： 11  Issue： 5  Page： 1260  Publication year： 2018 
JST Material Number： U7016A  ISSN： 1996-1073  CODEN： ENERGA  Document type： Article
Article type： 原著論文  Country of issue： Switzerland (CHE)  Language： ENGLISH (EN)

Abstract/Point： The rapidly increasing use of ...

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Thesaurus term： Spain ,  renewable energy ,  transmission system(electric power) ,  wind power generation ,  *electric power ,  optimization ,  prediction model ,  *forecast ,  parameter ,  prediction error ,  formulation ,  scheduling ,  solar energy ,  *sun ,  wind speed

Author keywords (8)： differential evolution and the particle swarm optimization ,  hybrid meta-heuristic approach ,  mean absolute error ,  mean bias error ,  mean relative error ,  root mean square error ,  variance of the prediction errors ,  weekly mean error

JST classification (2)： Electric power system in general  (NB02000E) ,  Wind power generation  (NB03120Q)

Reference (47)：

• Borchers, A.M.; Duke, J.M.; Parsons, G.R. Does willingness to pay for green energy differ by source? Energy Policy 2007, 35, 3327-3334.
• Panwar, N.L.; Kaushik, S.C.; Kothari, S. Role of renewable energy sources in environmental protection: A review. Renew. Sustain. Energy Rev. 2011, 15, 1513-1524.
• Gillingham, K.; Newell, R.G.; Palmer, K. Energy Efficiency Economics and Policy; National Bureau of Economic Research: Cambridge, MA, USA, 2009.
• Boyle, G. Renewable Energy; Oxford University Press: Oxford, UK, 2004.
• Lewis, N.S. Toward cost-effective solar energy use. Science 2007, 315, 798-801.

Terms in the title (7)： メタヒューリスティクス ,  手法 ,  ビル ,  統合 ,  太陽光発電システム ,  出力電力 ,  短期予測