3 papers
stat.ML2020
Simulating Tariff Impact in Electrical Energy Consumption Profiles with Conditional Variational Autoencoders
Margaux Brégère, Ricardo J. Bessa
The implementation of efficient demand response (DR) programs for household electricity consumption would benefit from data-driven methods capable of simulating the impact of diffe…
cs.LG2020
A Critical Overview of Privacy-Preserving Approaches for Collaborative Forecasting
Carla Gonçalves, Ricardo J. Bessa, Pierre Pinson
Cooperation between different data owners may lead to an improvement in forecast quality - for instance by benefiting from spatial-temporal dependencies in geographically distribut…
eess.SY2019
Data Economy for Prosumers in a Smart Grid Ecosystem
Ricardo J. Bessa, David Rua, Cláudia Abreu +5
Smart grids technologies are enablers of new business models for domestic consumers with local flexibility (generation, loads, storage) and where access to data is a key requiremen…