This review paper investigates the progression of building energy optimization (BEO), with
particular emphasis on metaheuristic algorithms (MAs) within this field. This review …

This paper provides a comprehensive overview and analysis of state-of-the-art technological
advancements in building integration in smart grids, with a focus on enabling their …

Accurate parameter estimation is crucial and challenging for the design and modeling of PV
cells/modules. However, the high degree of non-linearity of the typical I–V characteristic …

In this paper, a new algorithm named the improved transient search optimization algorithm
(ITSOA) is utilized to solve classical test functions, optimize the consumption of building …

This paper presents a simulation study focused on optimizing user comfort and energy
consumption in smart buildings. Managing energy efficiently in smart buildings poses a …

In recent years, there has been a significant increase in electricity consumption and carbon
emissions from households in smart buildings. This increase has had a profound impact on …

As is known, early prediction of thermal load in buildings can give valuable insight to
engineers and energy experts in order to optimize the building design. Although different …

This study aims to construct a comprehensive evaluation model for efficiently assessing
appropriate technologies within green buildings. Initially, an Internet of Things (IoT)-based …

In the context of China's targets to achieve a" carbon peak" by 2030 and" carbon neutrality"
by 2060, the operation and maintenance of buildings with low-carbon and zero-energy …

Abstract Statement of the Problem. Lack of an artificial intelligence (AI)-driven approach to
optimize the application of nature-based solutions (NbS) for enhancing energy sustainability …