Federated learning and non-federated learning based power forecasting of photovoltaic/wind power energy systems: A systematic review

被引：0

作者：

ElRobrini, Ferial ^{[1
]}

Bukhari, Syed Muhammad Salman ^{[2
]}

Zafar, Muhammad Hamza ^{[3
]}

Al-Tawalbeh, Nedaa ^{[4
]}

Akhtar, Naureen ^{[3
]}

Sanfilippo, Filippo ^{[3
,5
]}

机构：

[1] Department of Renewable Energies, Saad Dahlab University, Blida,09000, Algeria

[2] Department of Electrical Engineering, Capital University of Science and Technology, Islamabad,44000, Pakistan

[3] Department of Engineering Sciences, University of Agder, Grimstad,4879, Norway

[4] Department of Renewable Energy Engineering, Al al-Bayt University, Mafraq,25113, Jordan

[5] Department of Software Engineering, Kaunas University of Technology, Kaunas,44029, Lithuania

来源：

Energy and AI | / 18卷

关键词：

Deep learning - Forecasting models - Grid management - Photovoltaic power - Photovoltaic power forecasting - Photovoltaics - Power forecasting - Privacy preserving - Transfer learning - Wind power forecasting;

D O I：

100438

中图分类号：

学科分类号：

摘要：

205

引用

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