The Kingdom of Saudi Arabia's electricity sector has undergone several distinct phases, and
the country's commitment to renewable energy development has resulted in a modern …

This study aims to develop statistical and machine learning methodologies for forecasting
yearly electricity consumption in Saudi Arabia. The novelty of this study include (i) …

This study aimed to uncover the attitudes, preferences, and perceptions of Hail residents
toward electric vehicles (EVs) by employing a real-life survey-based approach. This paper …

Electricity demand forecasting stands as a paramount factor in the operation and strategic
planning of energy production and distribution systems. This article aims to present the …

This study utilized different methods, namely classical multiple linear regression (MLR),
statistical approach exponential smoothing (EXPS), and deep learning algorithm long short …

This study uses the Scopus and Web of Science databases to review quantitative methods
to forecast electricity consumption from 2015 to 2024. Using the PRISMA approach, 175 …

Electricity is widely regarded as the most adaptable form of energy and a major secondary
energy source. However, electricity is not economically storable; therefore, the power system …

We address the shortcomings associated with modelling national aggregate electricity
consumption in a large and diverse country with unique regional characteristics. Focusing …

Wind energy represents a substantial renewable resource with its vast potential for electricity
generation. In wind energy systems, power curve fitting is an important requirement not only …

This chapter traces the origins of the sector's prominence, shedding light on the factors that
contributed to Lebanon's reputation as a regional financial center. It also examines the …