ForeSight

We are developing a hybrid spatio-temporal forecasting algorithm to address the challenges posed by the complexity of noisy data in the renewable energy industry. This innovative algorithm aims to enhance forecasting accuracy and resolutions significantly. Additionally, we believe it has the potential to reduce computational costs associated with forecasting. Our approach combines advanced techniques to deliver more reliable and cost-effective predictions, making it a valuable tool for the renewable energy sector.