Efficient Deterministic Renewable Energy Forecasting Guided by Multiple-Location Weather Data

arXiv:2404.17276v1 Announce Type: new
Abstract: Electricity generated from renewable energy sources has been established as an efficient remedy for both energy shortages and the environmental pollution stemming from conventional energy production methods. Solar and wind power are two of the most dominant renewable energy sources. The accurate forecasting of the energy generation of those sources facilitates their integration into electric grids, by minimizing the negative impact of uncertainty regarding their management and operation. This paper proposes a novel methodology for …

abstract accurate forecasting arxiv cs.ai cs.lg data electricity energy environmental forecasting generated location multiple pollution power production renewable solar stemming type weather weather data wind