期刊名称：International Journal of Energy Economics and Policy
电子版ISSN：2146-4553
出版年度：2015
卷号：5
期号：4
页码：1092-1097
语种：English
出版社：EconJournals
摘要：In this study we review literature related to short-term forecasting of spot electricity prices using Artificial Neural Networks in deregulated competitive power markets. With accurate price forecasts, power market participants can maximize their profits and meet their power commitments using a proper combination of power purchase agreements, bilateral trade and buying/selling electricity through power exchanges in a judicious, efficient and effective manner. Artificial Neural Network models may truly be an answer to short-term electricity spot price forecasting viz-a-viz time-series econometric models. Keywords: Artificial Neural Networks, Spot Electricity, Short term, Forecasting, Power Exchange, Review JEL Classifications : C01; C22; C53
其他摘要：In this study we review literature related to short-term forecasting of spot electricity prices using Artificial Neural Networks in deregulated competitive power markets. With accurate price forecasts, power market participants can maximize their profits and meet their power commitments using a proper combination of power purchase agreements, bilateral trade and buying/selling electricity through power exchanges in a judicious, efficient and effective manner. Artificial Neural Network models may truly be an answer to short-term electricity spot price forecasting viz-a-viz time-series econometric models. Keywords: Artificial Neural Networks, Spot Electricity, Short term, Forecasting, Power Exchange, Review JEL Classifications : C01; C22; C53
