In theory, building automation and management systems (BAMSs) can provide all the
components and functionalities required for analyzing and operating buildings. However, in …

The difficulty in balancing energy supply and demand is increasing due to the growth of
diversified and flexible building energy resources, particularly the rapid development of …

With population increases and a vital need for energy, energy systems play an important
and decisive role in all of the sectors of society. To accelerate the process and improve the …

To improve the monitoring of the electrical power grid, it is necessary to evaluate the
influence of contamination in relation to leakage current and its progression to a disruptive …

Achieving the desired accuracy in time series forecasting has become a binding domain,
and develo** a forecasting framework with a high degree of accuracy is one of the most …

The building envelope considerably influences building energy consumption. To enhance
the energy efficiency of buildings, this paper proposes an approach to predict building …

Traditional building energy prediction (BEP) methods usually solve time-series prediction
problems using either recursive strategy or direct strategy, which may ignore time …

Accurate load forecasting can efficiently reduce the day-ahead dispatch stress of power
system or microgrid. The overview of load forecasting based on artificial intelligence models …

A Virtual power plant is defined as an information and communications technology system
with the following primary functionalities: enhancing renewable power generation …

Advanced data mining methods have shown a promising capacity in building energy
management. However, in the past decade, such methods are rarely applied in practice …