PV power forecasting based on data-driven models: a review
Accurate PV power forecasting techniques are a prerequisite for the optimal management of the grid and its stability. This paper presents a review of the recent developments in the field of PV power forecasting, mainly focusing on the literature which uses ML techniques. The ML techniques (sub-branc...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2021-11-01
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| Series: | International Journal of Sustainable Engineering |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/19397038.2021.1986590 |