Energy is the lifeblood of modern societies. In the past decades, the world's energy
consumption and associated CO 2 emissions increased rapidly due to the increases in …

Managing supply and demand in the electricity grid is becoming more challenging due to
the increasing penetration of variable renewable energy sources. As significant end-use …

Indoor temperature modeling is a crucial part towards efficient Heating, Ventilation and Air
Conditioning (HVAC) systems. Data-driven black-box approaches have been an attractive …

This paper proposes a novel reinforcement learning (RL) architecture for the efficient
scheduling and control of the heating, ventilation and air conditioning (HVAC) system in a …

Abstract Deep Reinforcement Learning (DRL) has emerged as a promising approach to
address the trade-off between energy efficiency and indoor comfort in buildings, potentially …

Estimating the electricity load is a crucial task in the planning of power generation systems
and the efficient operation and sustainable growth of modern electricity supply networks …

Previous studies have shown that electric water heaters (EWHs) have strong potential in
demand-side management applications more precisely because they offer energy storage …

Abstract Heating, Ventilation, and Air Conditioning (HVAC) systems play a vital role in
building energy management by controlling the indoor temperature and ensuring the …

Flexible resources aids in enhancing the resilience of a renewable dominated power
system. Space heating systems equipped with heat pumps is one such flexible resource …

With a drive towards achieving an integrated energy system, there is a need for holistic and
scalable building modelling approaches for the commercial building stock. Existing grey-box …