Building energy consumption prediction has a significant effect on energy control, design
optimization, retrofit evaluation, energy price guidance, and prevention and control of COVID …

Abstract The Football Optimization Algorithm (FbOA) is introduced as a novel population-
based metaheuristic optimization technique inspired by the dynamic strategies of a football …

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

Metaheuristic algorithms are increasingly utilized to solve complex optimization problems
because they can efficiently explore large solution spaces. The moss growth optimization …

Global warming and environmental degradation are essential issues that endanger human
survival. The conflict between rising carbon emissions and carbon neutrality goals has …

Reliable energy demand estimation and optimal sizing of a stand-alone photovoltaic/wind/
battery hybrid energy system are critical for achieving sustainable development goals. This …

Purpose Numerous simulation software has been used to evaluate energy performance with
12% of the research focusing on long-term energy consumption prediction. This paper aims …

Carbon Dioxide (CO 2) is a significant contributor to greenhouse gas emissions and one of
the main drivers behind global warming and climate change. In spite of the global economic …

This paper explores the concept of smart cities and the role of the Internet of Things (IoT)
and machine learning (ML) in realizing a data-centric smart environment. Smart cities …

The purpose of this research study is to solve a four‐objective optimization problem in the
construction industry using a hybrid model that combines the slime mould algorithm (SMA) …