11 citations · 15 across the 5 of their papers we have counts for
5 papers
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…
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…
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…
Deep Learning for Forecasting the Energy Consumption in Public Buildings
Viorica Rozina Chifu, Cristina Bianca Pop, Emil St. Chifu +1
In this paper we propose a Long Short-Term Memory Network based method to forecast the energy consumption in public buildings, based on past measurements. Our approach consists of…
Forecasting the Short-Term Energy Consumption Using Random Forests and Gradient Boosting
Cristina Bianca Pop, Viorica Rozina Chifu, Corina Cordea +2
This paper analyzes comparatively the performance of Random Forests and Gradient Boosting algorithms in the field of forecasting the energy consumption based on historical data. Th…