Building energy consumption modeling and forecasting is essential to address buildings
energy efficiency problems and take up current challenges of human comfort, urbanization …

This paper reviews the classification schemes used for bottom-up energy system modelling
and proposes a novel one as re-elaboration of the previous schemes. Moreover, this paper …

The parametric uncertainties inherent in the models of renewable and sustainable energy
systems (RSESs) make the associated decision-making processes of integrated resource …

The increasing frequency of extreme weather events forced policymakers to take stricter
commitments to mitigate climate change. The household sector, which is responsible for one …

Energy consumption in the residential sector has grown significantly over the last 30 years.
In recent years, a large number of authors have analysed the determinants of behaviour …

Demand response is recognised as a potentially cost-effective means for providing the
increasing amounts of flexibility needed in power systems with increasing penetrations of …

The consumers' energy-saving behavior is a key initiative to relieve greenhouse gas
emissions and promote economic development. Existing studies mostly analyze the …

During the last decades, the art and science of fuzzy logic have witnessed significant
developments and have found applications in many active areas, such as pattern …

Purpose The purpose of this paper is to investigate the distinct reasons and more common
reasons that reduce customer satisfaction and are antecedents to customer churn behavior …

The peak load caused by heating, ventilation, and air-conditioning (HVAC) systems is one of
the main control targets of a demand response (DR) program. One key issue related to DR is …