Artificial Intelligence Platform for Intelligent Energy Management & Storage Applications
Development of a model for the optimal planning of the operation of combined PV base and battery energy storage units, utilizing machine learning techniques for the prediction of critical parameters, in in the context of intelligent energy management of similar systems. In the first part implementation of the pilot scenario will develop PV generation forecasting models, electricity consumption and the wholesale price of electricity, while in the The second part of the implementation will develop the strategy and optimization model for the the adoption of a day-ahead operating schedule, focusing on applications self-producer and possibly cumulative representation entities.