Search Results for author: Cristina Pop

Found 3 papers, 0 papers with code

FedWOA: A Federated Learning Model that uses the Whale Optimization Algorithm for Renewable Energy Prediction

no code implementations19 Sep 2023 Viorica Chifu, Tudor Cioara, Cristian Anitiei, Cristina Pop, Ionut Anghel

Privacy is important when dealing with sensitive personal information in machine learning models, which require large data sets for training.

Federated Learning

Social Factors in P2P Energy Trading Using Hedonic Games

no code implementations4 Sep 2023 Dan Mitrea, Viorica Chifu, Tudor Cioara, Ionut Anghel, Cristina Pop

We integrated the proposed hedonic game model into a state-of-the-art blockchain-based P2P energy flexibility market and evaluated its performance within an energy community of prosumers.

energy trading

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