The building and construction industry has consistently been a major contributor to energy
consumption and carbon emissions. With stochastic interactions between occupants and …

Reduced environmental impacts, lower operating costs, and a stable, sustainable energy
supply for current and future generations are the main reasons why power optimization is …

Using Reinforcement Learning (RL) to control the energy consumption while preserving the
comfort level in a building has shown promising. For instance, in our previous work, we have …

The current economic crisis in Europe, caused by the severe years of COVID and the
invasion of Ukraine, has led to a significant energy crisis, especially in countries with lower …

This research studies the feasibility of RL-based response strategies that can maximize
energy consumption in a smart building. By the inclusion of recreational pondering and …

This paper presents an innovative model for efficient home energy management through a
Home Energy Management System (HEMS) based on Deep Learning and Reinforcement …

Анотація Актуальність теми. У роботі розглянуто задачу керування опаленням та
оптимізації витрат на опалення. Розглянуто застосування підходу навчання з …