Solar Irradiance Forecasting Using a Data-Driven Algorithm and Contextual Optimisation

Solar forecasting plays a key part in the renewable energy transition. Major challenges, related to load balancing and grid stability, emerge when a high percentage of energy is provided by renewables. These can be tackled by new energy management strategies guided by power forecasts. This paper pre...

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書誌詳細

出版年:	Applied Sciences
主要な著者:	Paula Bendiek, Ahmad Taha, Qammer H. Abbasi, Basel Barakat
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2021-12-01
主題:	solar irradiance forecasting short-term and long-term predictions machine learning support vector machine Facebook Prophet contextual optimisation
オンライン･アクセス:	https://www.mdpi.com/2076-3417/12/1/134