Household energy usage can be actively managed by home users through the smart grid,
utilizing the Home Energy Management (HEM) system. Within the framework of a demand …

Minimizing energy costs while maintaining consumer satisfaction is a very challenging task
in a smart home. The contradictory nature of these two objective functions (cost of energy …

Minimizing energy costs while maintaining consumer satisfaction is a very challenging task
in a smart home. The contradictory nature of these two objective functions (cost of energy …

Abstract Life Cycle Sustainability Assessment (LCSA) in the built environment has
increasingly drawn researchers' attention in the preceding years; however, the lack of an …

The emerging concept of smart buildings, which requires the incorporation of sensors and
big data (BD) and utilizes artificial intelligence (AI), promises to usher in a new age of urban …

Smart building is a building development approach utilizing digital and communication
technology to improve occupants' comfort inside the building and help increase energy …

Smart grids (SG) allow users to plan and control device usage patterns optimally, thereby
minimizing power costs, peak-to-average ratios (PAR), and peak load demands. The …

Artificial intelligence algorithms have been applied separately or integrally for prediction,
classification or optimization of buildings energy consumption. However, there is a salient …

This paper proposes a machine learning based optimization approach to reduce building
total electricity consumption for heating and cooling energy. The proposed approach …

The assessment of energy performance in smart buildings has emerged as a prominent
area of research driven by the increasing energy consumption trends worldwide. Analyzing …