文章基本信息

标题：Forecasting Analysis Based on Multi-scale and Multi-time with Uncertainty
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作者：Keon-Jun Park ; Sung-Yong Son
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2019
卷号：52
期号：4
页码：318-323
DOI：10.1016/j.ifacol.2019.08.229
语种：English
出版社：Elsevier
摘要：AbstractThe dissemination of distributed resources presents a new paradigm for the power industry. Especially solar power is creating a new chapter for trading electricity as a new source. Solar power sources and load resources are each uncertain by their size and time factors. This paper discusses the uncertainties due to the accuracy of the forecast by forecasting PV power source and by forecasting load resource based multi-scale and multi-time. To do this, artificial neural networks are used to forecast these resources at a different time interval and the amounts by aggregation. Uncertainty from the forecasting results is discussed.
关键词：KeywordsPV forecastingLoad forecastingArtificial IntelligenceMulti-scaleMulti-timeUncertainty