2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.LG2024
Distributed solar generation forecasting using attention-based deep neural networks for cloud movement prediction
Maneesha Perera, Julian De Hoog, Kasun Bandara +2
Accurate forecasts of distributed solar generation are necessary to maintain grid stability amid the increased uptake of distributed solar photovoltaic (PV) systems. However, the h…
cs.LG2024★ 2 cited
Day-ahead regional solar power forecasting with hierarchical temporal convolutional neural networks using historical power generation and weather data
Maneesha Perera, Julian De Hoog, Kasun Bandara +2
Regional solar power forecasting, which involves predicting the total power generation from all rooftop photovoltaic systems in a region holds significant importance for various st…