Solid waste management is a serious ecological problem in Saudi Arabia due to rapid
industrialization, population growth and urbanization. Recycling and sorting are in their …

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 …

Saudi Arabia plans to shift a large portion of its domestic energy production away from fossil
fuel towards solar energy by 2030. Yet, the solar energy pool is mainly targeting photovoltaic …

This article focuses on developing both statistical and machine learning approaches for
forecasting hourly electricity demand in Ontario. The novelties of this study include (i) …

Dubai is an emerging metropolis with unique features, such as an extremely high expatriate
ratio and turnover rate. These features, along with the extreme climatic conditions and …

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) …

The need for resilience and an agile waste management system in Saudi Arabia is vital to
control safely the rapid growth of its municipal solid waste (MSW) with minimal environment …

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

This paper proposes a new optimization model based on mixed-integer linear programming
approach for sizing a solar-wind-grid-connected system. The proposed hybrid system aims …

Electricity, being the most efficient secondary energy, contributes for a larger proportion of
overall energy usage. Due to a lack of storage for energy resources, over supply will result in …