Funding entity Endesa Medios y Sistemas S.L, Endesa, S.A.
The main objective of this project is the adaptation of residual demand curve prediction models to the quarter-hourly electricity markets (day-ahead market and secondary reserve market). These models include approaches based on Machine Learning techniques, as well as time series and functional data analysis.
The adaptation includes a study on the different effects of the new temporal granularity on the models and forecasts.
Layman's summary: The project adapts residual demand prediction models to quarter-hourly electricity markets (Day-Ahead and Secondary Reserve), using Machine Learning, time series, and functional analysis.
Techniques employed: Functional data analysis, Machine Learning, Time series
HADES_KT_MD_2025_Req2
