2 papers
cs.LG2019
A Machine Learning Model for Long-Term Power Generation Forecasting at Bidding Zone Level
Michela Moschella, Mauro Tucci, Emanuele Crisostomi +1
The increasing penetration level of energy generation from renewable sources is demanding for more accurate and reliable forecasting tools to support classic power grid operations…
eess.SY2019
Decentralized Assignment of Electric Vehicles at Charging Stations Based on Personalized Cost Functions and Distributed Ledger Technologies
Michela Moschella, Pietro Ferraro, Emanuele Crisostomi +1
In this paper we propose a stochastic decentralized algorithm to recommend the most convenient Charging Station (CS) to Plug-in Electric Vehicles (PEVs) that need charging. In part…