Funding entity Endesa Medios y Sistemas S.L, Endesa, S.A
The project brings two IIT research contributions for electricity market applications: the MLP and PRBFN models developed through a doctoral thesis, and the sensitivity analysis methodology presented in the paper NeuralSens: Sensitivity Analysis of Neural Networks.
These contributions combine forecasting and pattern recognition capabilities with tools for interpreting how input variables influence model outputs.
The development will modernise the models used in HaDes for regression, classification, time series and clustering, preserving their analytical and visualisation capabilities.
Particular emphasis will be placed on sensitivity analysis as a link between prediction and interpretation, helping identify the most influential variables.
Layman's summary: The project modernises artificial intelligence models for electricity market applications. It supports forecasting, pattern identification and analysis of how each variable influences the results, making them easier to interpret and use.
Techniques employed: Machine Learning, Neural Networks, XAI, Sensitivity analysis
HADES_KT_MLP_PRBFN_2026
