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Volume 236, Issue C2024
Bibliometrics
front-matter
Contents
editorial
research-article
Determination of temperature profile inside a PV module operating under specific conditions using a model coupling internal heating to optical absorption
Abstract

In this study, the complex dynamics behind heat transfer within photovoltaic (PV) solar modules under spectral solar illumination are investigated. A new model coupling internal heating to optical absorption is derived from equations governing ...

research-article
Assessing the potential of green hydrogen production from wind power: case of microgrid
Abstract

In the context of a microgrid, green hydrogen production from wind power was assessed in this paper. A Wind-Hydrogen Integrated Power Grid Model was employed to address the intermittent nature of wind energy resources. Wind power generation was ...

research-article
A Brief Review of Energy Consumption Forecasting Using Machine Learning Models
Abstract

Energy consumption forecasting plays a pivotal role in modern resource management and sustainable development. This paper presents a concise overview of state-of-the-art techniques and methodologies employed in the field of energy consumption ...

research-article
Sustainability-Driven Hourly Energy Demand Forecasting in Bangladesh Using Bi-LSTMs
Abstract

This research presents a comprehensive study on developing and evaluating a deep learning-based forecasting model for hourly energy demand prediction in Bangladesh. Leveraging a novel dataset obtained from the Power Grid Company of Bangladesh (...

research-article
Electrocoagulation-based AZO DYE (P4R) Removal Rate Prediction Model using Deep Learning
Abstract

This article presents a study on the effectiveness of electrocoagulation (EC) for the removal of azo dyes from wastewater. The analysis was performed using a combination of statistical methods, including density estimation, correlation analysis, ...

research-article
Towards Sustainable Buildings: Predictive Modeling of Energy Consumption with Machine Learning
Abstract

The building sector's energy consumption remains a significant problem, requiring the development of powerful energy management systems to improve energy efficiency. The main aim of this research is to forecast energy use through indoor ...

research-article
Nexus between economy, renewable energy, population and ecological footprint: empirical evidence using STIRPAT model in Morocco
Abstract

The present study aims to examine the long run impacts of per capita income, renewable energy consumption, urbanization, trade openness on ecological footprint in Morocco over the period 1980-2021. It also attempts to explore the validity of the ...

research-article
Prediction of energy production in a building-integrated photovoltaic system using machine learning algorithms
Abstract

Globally, the building sector is a significant consumer of energy. Implementing effective energy management system (EMS) strategies is crucial for reducing energy consumption and optimizing energy usage across all building elements. Moreover, ...

research-article
Challenges and Limitations of Artificial Intelligence Implementation in Modern Power Grid
Abstract

Ongoing global decarbonization and energy transition have led to significant changes in the traditional power grid, resulting in new challenges for grid operators. These challenges, which are exacerbated by the increased penetration of distributed ...

research-article
Review of the Integration of Photovoltaic and Electric Vehicles on Distribution Network: Impacts and Enhancement Approaches
Abstract

The development of electricity generation from renewable sources, particularly photovoltaic energy (PV), as well as the significant growth of electric mobility with electric vehicles (EVs), leads us to contemplate the potential impacts of these ...

research-article
Proactive Environmental Management's Drive for Green Technology Adoption in MENA Firms: Regulatory Mediation and Financial Moderation
Abstract

This empirical study explores the determinants of Green Technologies and Practices (GTP) adoption within Middle East and North Africa (MENA) firms, focusing on Proactive Environmental Management (PEM), Environmental Regulation (ER), and Financial ...

research-article
Design optimization of a multi-source renewable energy system using a novel method based on selective ensemble learning
Abstract

This study conducts a comparative assessment to optimize the design of a Hybrid Renewable Energy System (HRES) consisting of PV panels, wind turbines (WTs), and hydrogen storage (PV/WT/FC). The study focuses on Dakhla City, leveraging its ...

research-article
Solar To Hydrogen Production Barriers and Opportunities in Oman: A Case Study in The Dhofar Region
Abstract

The energy demand has increased rapidly worldwide due to the depletion of fossil fuels. Recently, the rate of energy consumption has become unsustainable, providing a strong incentive for many countries to pursue renewable energy sources. By 2030, ...

research-article
Review on Biodiesel Generations: Energy Demand, Costs, and Emissions
Abstract

Faced with the growing demand for energy worldwide, fossil fuels, like any other resource available in finite quantities, are in the process of disappearing since their production cannot increase indefinitely. On the other hand, Russia's war with ...

research-article
Deep Learning and Econometric Analysis of CO2 Emissions in Bangladesh: A Transition Towards Renewable Energy and Sustainable Practice
Abstract

Environmental sustainability achievement is an increasingly significant issue in current society. Globally, unimpeded greenhouse gas emissions threaten environmental sustainability. As a developing economy, Bangladesh is extremely reliant on ...

research-article
Analysis of land use and land cover transpose using remote sensing and GIS approach: a case of Hamirpur, India
Abstract

The process of urbanization is inevitable and its higher rates have been observed in the less developed nations. It has impacted the socio-economic as well as environmental condition of the urban system. The present study intends to demonstrate a ...

research-article
Integrated Thermodynamic Analysis and Channel Variation Effects on Solid Oxide Electrolysis for Efficient Hydrogen Generation
Abstract

This study delves into the intricate dynamics of Solid Oxide Electrolysis Cells (SOECs) using comprehensive simulation and analysis. By exploring the effects of temperature, pressure, and geometrical variations, we reveal valuable insights into ...

research-article
Modeling and Analysis of a Horizontal Axis Current Turbine
Abstract

In recent times, various research studies have proven that the marine currents turbine (MCT) resource has enormous potential for electric power. For the proper exploitation of this resource, it is necessary to understand the hydrodynamics of the ...

research-article
Federated Learning Communications Optimization Using Sparse Single-Layer Updates
Abstract

Federated learning has emerged as a robust framework for distributed machine learning, enabling model training across decentralized data sources while preserving data privacy. Despite its advantages, a persistent challenge remains: the high ...

research-article
Kolmogorov-Smirnov based method for detecting black hole attack in vehicular ad-hoc networks
Abstract

The security of ad hoc networks continues to pose a major challenge in today's digital age. Threatened by unscrupulous users, especially in decentralized and open architectures, ad-hoc vehicular networks make protection against malicious attacks a ...

research-article
Impact of Renewable Energy Resources on the Performance of DTN Networks in the Context of Hierarchical Routing Tree Topology (HRTT)
Abstract

Delay-Tolerant Networks (DTN) are mobile networks specifically designed to operate in challenging wireless environments where connectivity is not guaranteed, and various issues such as frequent disconnections, long delivery delays, low delivery ...

research-article
Smart Waste Collection Based on Vehicle Routing Optimization: Case of Casablanca City
Abstract

Morocco has implemented circular economy principles in their waste management program to close or rehabilitate all existing landfills. However, the waste collection and transportation process remain highly inefficient and costly, contributing to a ...

research-article
Deep learning and Vegetation indices based approach for leaf diseases classification in RGB images
Abstract

Foliar diseases are one of the factors that impact corn crop productivity. Automatic detection of corn diseases can play an important role in addressing the issue of diseases management and productivity enhancement. In this regard, an experimental ...

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