In photovoltaic–thermal (PV/T) system analysis, solar collectors with numerous design
concepts have been used to purvey the thermal and electrical energy effectively. In this …

As the energy consumption of residential building takes a large part in the building energy
consumption, it is important to promote energy efficiency in residential building for green …

(BEC) facilitates an effective energy management system based on the comprehensive
understanding of the energy reduction potential, contributing to the reduction in climate …

Building energy consumption prediction is important for sustainable building and city
construction. However, traditional data-driven prediction methods weakly consider real-time …

This paper aims to prove that the artificial neural network (ANN) is a powerful tool in
prediction of buildings energy consumption, this target is achieved by comparing the …

Since cooling and heating loads are regarded as significant parameters to examine the
energy performance of buildings, the need to predict and analyze them for the residential …

Since accurate load forecasting plays an important role in the improvisation of buildings and
as described in EU's “Green Deal”, financial resources saved through improvisation of the …

Accurate building energy consumption prediction is crucial to the rational planning of
building energy systems. The energy consumption of buildings is influenced by various …

According to the actual operating energy consumption of office buildings, this paper
proposes an energy consumption prediction method suitable for office building operations in …

Short-term building energy consumption prediction is of great significance to the optimal
operation of building energy systems and conservation. Machine-learning models are …