Building energy efficiency is vital, due to the substantial amount of energy consumed in
buildings and the associated adverse effects. A high-accuracy energy prediction model is …

Building energy consumption prediction plays an important role in improving the energy
utilization rate through helping building managers to make better decisions. However, as a …

In the present day environment, smart buildings require optimization of energy consumption
through monitoring, consumption prediction and making policy decisions accordingly …

In this paper, we have proposed a methodology for energy consumption prediction in
residential buildings. The proposed method consists of four different layers, namely data …

The current energy requirements of buildings comprise a large percentage of the total
energy consumed around the world. The demand of energy, as well as the construction …

In this paper, Extreme Learning Machine (ELM) is demonstrated to be a powerful tool for
electricity consumption prediction based on its competitive prediction accuracy and superior …

This paper evaluates the performance of four artificial intelligence algorithms for building
energy consumption prediction. The backward propagation neural network (BPNN), support …

Estimation of energy efficiency is one of the major issues in smart city planning. Although,
there are some papers about estimation of energy efficiency of the buildings, there is still a …

District heating systems are important utility systems. If these systems are properly managed,
they can ensure economic and environmental friendly provision of heat to connected …

In an attempt to eliminate the performance gap in buildings, recent studies have
demonstrated the value of on-site heat loss measurements. However, it is recognized that its …