Exploring improvements of wind power forecasts using Convolutional Neural Networks and Time Series Analysis
Due to environmental considerations, volumes of renewable power production are rapidly growing, and its share of the energy pool is increasing. The inter- mittent nature of wind power, being one of the main renewable energy sources, is a challenge when generating production forecasts. Accurate forecasts are nec- essary for the electrical grid to be kept in balance as the development of wind power