44414.1 IP-ICT

Résumé

Graph-based predictors for photovoltaic power forecasting - GraPV

Textes supplémentaires

Abstract

We develop an advanced PV power forecasting solution, to improve production accuracy prediction - resulting in better trading effectiveness in energy imbalance markets. The solution is based on novel graph-based AI strategies exploiting existing heterogeneous information and related dependencies.

Participants

Filippo Spazzini

Wirtschaftspartner

filippo.spazzini@dxtcommodities.com

DXT Commodities SA CHE-105.222.146 Filippo Spazzini Via Trevano 2 a 6900 Lugano TI CH

Cesare Alippi

Kontaktperson

cesare.alippi@usi.ch

USI Universita della Svizzera Italiana Cesare Alippi Via Buffi 13 6900 Lugano TI CH

Détails du projet

Office de recherche: INNOSUISSE
Statut du projet: Abgeschlossen
Type de projet: Forschungsprojekt
Date de début: 2020-08-31
Date de fin: 2023-02-28
Coûts totaux approuvés: CHF 456924.00
Section: 50 ICT
Domaine politique NABS: Industrielle Produktivität und Technologie

Disciplines de recherche

P176 Artificial intelligence 100.0%