Forecasting of preprocessed daily solar radiation time series using neural networks

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Nearest-neighbor methodology for prediction of intra-hour global horizontal and direct normal irradiances (2015, background): “Although there are very few articles in literature that apply kNNto the forecast of solar irradiation (see for instance [25,27]), kNN has been extensively applied as a forecasting technique to problems such as: electricity load and electricity price [18,19], daily river water temperature [31], water”
Review on forecasting of photovoltaic power generation based on machine learning and metaheuristic techniques (2019, methodology): “The cumulated DC PV energy for a 6-month period showed great similarity between simulated and measured data ( R 2 > 0.99 and nRMSE 2% on 1.175 kWc mono-Si PV power grid [82].”