Obtaining a feasible unit commitment of thermal groups using Machine Learning techniques from the results of VALORE

J. Reneses A. Bello A. Orgaz G. Marulanda L. Montero

July 2019 - December 2019

Funding entity Enel Iberoamerica S.R.L

This project between IIT and Endesa focuses on obtaining a feasible unit commitment for Endesa thermal groups using the results obtained in a VALORE execution (either deterministic or Monte Carlo), using machine learning techniques.

Research topics:
• *Short-Term Operation, Market Bidding and Operating Reserves
• *Medium-Term Tactical Planning

2019_VALORE-T4