Day-ahead photovoltaic power forecasting approach based on deep convolutional neural networks and meta learning-Reference-Cited by-同舟云学术

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Day-ahead photovoltaic power forecasting approach based on deep convolutional neural networks and meta learning

Published:2020-06 Issue: Volume:118 Page:105790
ISSN:0142-0615
Container-title:International Journal of Electrical Power & Energy Systems
language:en
Short-container-title:International Journal of Electrical Power & Energy Systems

Author:

Zang Haixiang,Cheng Lilin,Ding Tao,Cheung Kwok W.,Wei Zhinong,Sun Guoqiang

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

China Meteorological Administration

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

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4. Wind energy developments and policies in China: A short review;Sahu;Renew Sust Energy Rev,2018

5. The networking dynamics of the Italian biofuel industry in time of crisis: finding an effective instrument mix for fostering a sustainable energy transition;Falcone;Energy Policy,2018

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