Abstract Machine learning has been widely adopted for improving building energy efficiency
and flexibility in the past decade owing to the ever-increasing availability of massive building …

Machine learning (ML) algorithms are now part of everyday life, as many technological
devices use these algorithms. The spectrum of uses is wide, but it is evident that ML …

Abstract Digitalization and Artificial Intelligent (AI) are revolutionizing building operation
management. The abundance of data generated with the digitalization of buildings in the …

Thermal energy storage (TES) has been widely applied in buildings to shift air-conditioning
peak loads and to reduce operating costs by using time-of-use (ToU) tariffs. Meanwhile, TES …

To solve the problem of coupled and coordinated dispatch of multi-energy between campus
integrated energy system operator and users. A bi-level Stackelberg low-carbon economic …

The heating, ventilation, and air conditioning (HVAC) system is a major energy consumer in
office buildings, and its operation is critical for indoor thermal comfort. While previous studies …

Due to their capacity to improve energy consumption performance, intelligent applications
have recently assumed a pivotal position in the energy management of public buildings …

A net-zero energy community (NZEC) is a promising paradigm that can directly contribute to
a sustainable building sector and infrastructure. This research presents a unique empirical …

With the rapid development of large-scale building energy monitoring platforms, it is of great
significance to develop precise forecasting methods for buildings on a large scale to achieve …

The proliferation of utilizing smart devices and electric vehicles (EVs) has engendered new
opportunities for local distribution operators (LDOs) to flexibly energize these loads, given …