Computational solar energy–Ensemble learning methods for prediction of solar power generation based on meteorological parameters in Eastern India
The challenges in applications of solar energy lies in its intermittency and dependency on
meteorological parameters such as; solar radiation, ambient temperature, rainfall, wind-
speed etc., and many other physical parameters like dust accumulation etc. Hence, it is
important to estimate the amount of solar photovoltaic (PV) power generation for a specific
geographical location. Machine learning (ML) models have gained importance and are
widely used for prediction of solar power plant performance. In this paper, the impact of …
meteorological parameters such as; solar radiation, ambient temperature, rainfall, wind-
speed etc., and many other physical parameters like dust accumulation etc. Hence, it is
important to estimate the amount of solar photovoltaic (PV) power generation for a specific
geographical location. Machine learning (ML) models have gained importance and are
widely used for prediction of solar power plant performance. In this paper, the impact of …
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