多样性(控制论)
优势和劣势
电
运筹学
计算机科学
经济
国家(计算机科学)
电价预测
计量经济学
管理科学
电价
人工智能
工程类
心理学
电气工程
社会心理学
算法
标识
DOI:10.1016/j.ijforecast.2014.08.008
摘要
A variety of methods and ideas have been tried for electricity price forecasting (EPF) over the last 15 years, with varying degrees of success. This review article aims to explain the complexity of available solutions, their strengths and weaknesses, and the opportunities and threats that the forecasting tools offer or that may be encountered. The paper also looks ahead and speculates on the directions EPF will or should take in the next decade or so. In particular, it postulates the need for objective comparative EPF studies involving (i) the same datasets, (ii) the same robust error evaluation procedures, and (iii) statistical testing of the significance of one model’s outperformance of another.
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