activity
20232025
most citedFedWOA: A Federated Learning Model that uses the Whale Optimization Algorithm for Renewable Energy Prediction

3 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

cs.GT2025

Microgrids Coalitions for Energy Market Balancing

Viorica Chifu, Cristina Bianca Pop, Tudor Cioara +1

With the integration of renewable sources in electricity distribution networks, the need to develop intelligent mechanisms for balancing the energy market has arisen. In the absenc…

cs.NE2025

Evolutionary model for energy trading in community microgrids using Hawk-Dove strategies

Viorica Rozina Chifu, Tudor Cioara, Cristina Bianca Pop +1

This paper proposes a decentralized model of energy cooperation between microgrids, in which decisions are made locally, at the level of the microgrid community. Each microgrid is…

cs.LG2024

A Deep Q-Learning based Smart Scheduling of EVs for Demand Response in Smart Grids

Viorica Rozina Chifu, Tudor Cioara, Cristina Bianca Pop +2

Economic and policy factors are driving the continuous increase in the adoption and usage of electrical vehicles (EVs). However, despite being a cleaner alternative to combustion e…

cs.AI2023

Electric Vehicles coordination for grid balancing using multi-objective Harris Hawks Optimization

Cristina Bianca Pop, Tudor Cioara, Viorica Chifu +2

The rise of renewables coincides with the shift towards Electrical Vehicles (EVs) posing technical and operational challenges for the energy balance of the local grid. Nowadays, th…

cs.LG2023★ 3 cited

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

Viorica Chifu, Tudor Cioara, Cristian Anitiei +2

Privacy is important when dealing with sensitive personal information in machine learning models, which require large data sets for training. In the energy field, access to househo…

cs.DC2023

Social Factors in P2P Energy Trading Using Hedonic Games

Dan Mitrea, Viorica Chifu, Tudor Cioara +2

Lately, the energy communities have gained a lot of attention as they have the potential to significantly contribute to the resilience and flexibility of the energy system, facilit…