Due to the fast advancement of communication and information technology, intelligent
buildings have garnered great interest. These buildings can forecast weather, ambient …

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 …

Managing supply and demand in the electricity grid is becoming more challenging due to
the increasing penetration of variable renewable energy sources. As significant end-use …

In this paper, a comprehensive review of the artificial neural network (ANN) based model
predictive control (MPC) system design is carried out followed by a case study in which ANN …

Accurate and reliable building energy predictions can bring significant benefits for energy
conservations. With the development in smart buildings, massive amounts of building …

The ongoing deployment of smart meters and different commercial devices has made
electricity disaggregation feasible in buildings and households, based on a single measure …

Implementing machine-learning models in real applications is crucial to achieving intelligent
building control and high energy efficiency. Over the past few decades, numerous studies …

This paper addresses the development of an innovative home energy management system
(HEMS). The presented HEMS relies on a mixed-integer linear programming (MILP)-based …

Due to its significant contribution to global energy usage and the associated greenhouse
gas emissions, existing building stock's energy efficiency must improve. Predictive building …

Purpose The changes brought by Industry 4.0 go beyond transformations in the industrial
environment. The increasingly frequent digitization and robotization of activities is not only …