Building operations represent a significant percentage of the total primary energy consumed
in most countries due to the proliferation of Heating, Ventilation and Air-Conditioning …

Occupant behavior has been widely considered as one of the key influencing factors on
building energy consumption. The complexity of its formation mechanism and the dynamic …

Operating heating power plant (DHPP) with fluctuating load is a complex problem. Thermal
energy storage (TES), flexible loads, and operating constraints compound this complexity …

Machine learning (ML) methods has recently contributed very well in the advancement of the
prediction models used for energy consumption. Such models highly improve the accuracy …

Smart home technologies have long been envisioned as a mainstay in future residential
buildings; however, residential smart home technologies have fallen short of expectations …

With the advancement of smart home and grid, a more connected and efficient operation of
the grid is achievable. Involving buildings as the largest consumer of electricity in such a …

Thermal comfort is one of the most important factors of indoor environment quality, affecting
occupants' well-being and work efficiency. With the advent of smart control technology …

Different microgrid (MG) users possess different preferences, which effectively stimulates the
energy management needs of MG. Based upon different preferences, this paper proposes a …

Accurate information on air conditioning (AC) energy consumption in residential buildings is
critical for enhancing the efficiency of demand response (DR) programs and promoting …

Probabilistic graphical models (PGMs) can effectively deal with the problems of energy
consumption and occupancy prediction, fault detection and diagnosis, reliability analysis …