Faisal Ghazi Beshaw¹, Thamir Hassan Atyia², Mohd Fadzli Mohd Salleh¹, Mohamad Khairi Ishak³, Abdul Sattar Din^1,*

CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 3553-3583, 2025, DOI:10.32604/cmc.2025.061400 - 16 April 2025

Abstract The significance of precise energy usage forecasts has been highlighted by the increasing need for sustainability and energy efficiency across a range of industries. In order to improve the precision and openness of energy consumption projections, this study investigates the combination of machine learning (ML) methods with Shapley additive explanations (SHAP) values. The study evaluates three distinct models: the first is a Linear Regressor, the second is a Support Vector Regressor, and the third is a Decision Tree Regressor, which was scaled up to a Random Forest Regressor/Additions made were the third one which was… More >

Elaine Yi-Ling Wu^*

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.1, pp. 1185-1214, 2025, DOI:10.32604/cmes.2025.064636 - 11 April 2025

Abstract Hybrid renewable energy systems (HRES) offer cost-effectiveness, low-emission power solutions, and reduced dependence on fossil fuels. However, the renewable energy allocation problem remains challenging due to complex system interactions and multiple operational constraints. This study develops a novel Multi-Neighborhood Enhanced Harris Hawks Optimization (MNEHHO) algorithm to address the allocation of HRES components. The proposed approach integrates key technical parameters, including charge-discharge efficiency, storage device configurations, and renewable energy fraction. We formulate a comprehensive mathematical model that simultaneously minimizes levelized energy costs and pollutant emissions while maintaining system reliability. The MNEHHO algorithm employs multiple neighborhood structures… More >

Xingxu Zhu^1,*, Shiye Wang¹, Gangui Yan¹, Junhui Li¹, Hongda Dong², Chenggang Li²

Energy Engineering, Vol.122, No.4, pp. 1469-1489, 2025, DOI:10.32604/ee.2025.059956 - 31 March 2025

Abstract To address the excessive complexity of monthly scheduling and the impact of uncertain net load on the chargeable energy of storage, a reduced time-period monthly scheduling model for thermal generators and energy storage, incorporating daily minimum chargeable energy constraints, was developed. Firstly, considering the variations in the frequency of unit start-ups and shutdowns under different levels of net load fluctuation, a method was proposed to reduce decision time periods for unit start-up and shut-down operations. This approach, based on the characteristics of net load fluctuations, minimizes the decision variables of units, thereby simplifying the monthly… More >

Surajudeen Sikiru^1,*, Yusuf Olanrewaju Busari^2,3, John Oluwadamilola Olutoki⁴, Mohd Muzamir Mahat¹, Sanusi Yekinni Kolawole⁵

Journal of Polymer Materials, Vol.42, No.1, pp. 1-31, 2025, DOI:10.32604/jpm.2025.058936 - 27 March 2025

Abstract Photocatalysis is a crucial technique for environmental cleanup and renewable energy generation. Polymer-based photocatalysts have attracted interest due to their adaptability, adjustable chemical characteristics, and enhanced light absorption efficiency. Unlike traditional inorganic photocatalysts, we can optimize polymeric systems to enhance photocatalytic efficiency and yield significant advantages in environmental remediation and energy conversion applications. This study talks about the latest developments in polymer-based photocatalysts and how important they are for cleaning water, breaking down pollutants, and making renewable energy through processes like hydrogen production and CO₂ reduction. These materials are proficient in degrading harmful pollutants such as… More >

Luthfi Hakim^1,*, Apri Heri Iswanto^1,*, Yunida Syafriani Lubis², Adam Jagwani Wirawan¹, Ridwanti Batubara¹, Nam Hum Kim³, Petar Antov⁴, Tomasz Rogoziński⁵, Lee Seng Hua⁶, Lum Wei Chen⁷, Rangabhashiyam Selvasembian⁸, Jayusman², Jajang Sutiawan⁹

Journal of Renewable Materials, Vol.13, No.3, pp. 637-650, 2025, DOI:10.32604/jrm.2025.056365 - 20 March 2025

Abstract The utilisation of sugar palm bunches-charcoal briquettes (SPB-CB) represents a significant advancement in biomass energy. This study aimed to analyse the properties of charcoal briquettes produced from SPB (Arenga longipes). The experiment involved categorising the dimensions of charcoal powder into three specific particle sizes: 20–40 mesh, 40–60 mesh, and particles that could pass through a 60-mesh screen. The charcoal powder will be combined with tapioca as a binding agent at three specific concentrations: 11%, 13%, and 15%. The research findings indicate that the samples underwent 60 mesh passes achieved the maximum briquette density, with an average… More >

Xincong Shi^1,2, Yuze Ji^3,*, Xinrui Wang³, Ruimin Tian³, Chao Zhang²

Energy Engineering, Vol.122, No.3, pp. 1199-1220, 2025, DOI:10.32604/ee.2025.061586 - 07 March 2025

Abstract With the development of integrated power and gas distribution systems (IPGS) incorporating renewable energy sources (RESs), coordinating the restoration processes of the power distribution system (PS) and the gas distribution system (GS) by utilizing the benefits of RESs enhances service restoration. In this context, this paper proposes a coordinated service restoration framework that considers the uncertainty in RESs and the bi-directional restoration interactions between the PS and GS. Additionally, a coordinated service restoration model is developed considering the two systems’ interdependency and the GS’s dynamic characteristics. The objective is to maximize the system resilience index… More >

Digambar Singh¹, Najat Elgeberi², Mohammad Aljaidi^3,*, Ramesh Kumar^4,5, Rabia Emhamed Al Mamlook⁶, Manish Kumar Singla^4,7,8,*

Energy Engineering, Vol.122, No.3, pp. 823-859, 2025, DOI:10.32604/ee.2025.059309 - 07 March 2025

Abstract The literature on multi-attribute optimization for renewable energy source (RES) placement in deregulated power markets is extensive and diverse in methodology. This study focuses on the most relevant publications directly addressing the research problem at hand. Similarly, while the body of work on optimal location and sizing of renewable energy generators (REGs) in balanced distribution systems is substantial, only the most pertinent sources are cited, aligning closely with the study’s objective function. A comprehensive literature review reveals several key research areas: RES integration, RES-related optimization techniques, strategic placement of wind and solar generation, and RES… More >

Asif Raihan^1,*, Mohammad Ridwan², Mahdi Salehi³, Grzegorz Zimon^4,*

Energy Engineering, Vol.122, No.2, pp. 493-514, 2025, DOI:10.32604/ee.2025.059016 - 31 January 2025

Abstract Global climate change has created substantial difficulties in the areas of sustainability, development, and environmental conservation due to the widespread dependence on fossil fuels for energy production. Nevertheless, the promotion of renewable energy programs has the potential to significantly expedite endeavors aimed at tackling climate change. Thus, it is essential to conduct a thorough analysis that considers the financial aspects to fully understand the main hurdles that are preventing the advancement of renewable energy initiatives. Italy is a leading country in the worldwide deployment of renewable energy. The objective of this research is to assess… More > Graphic Abstract

Viet Tinh Nguyen, Rujira Chaysiri^*

Energy Engineering, Vol.122, No.2, pp. 515-536, 2025, DOI:10.32604/ee.2024.057786 - 31 January 2025

Abstract This paper presents a novel multi-criteria decision-making (MCDM) model for selecting optimal locations for a solar-wind hybrid energy plant in Vietnam. The study employs the Criteria Importance Through Intercriteria Correlation (CRITIC) and Combined Compromise Solution (CoCoSo) methods to address the challenge of evaluating potential sites based on a range of economic, technical, environmental, and social criteria. By integrating CRITIC for criteria weighting and CoCoSo for ranking alternatives, the study underscores the importance of objective, data-driven approaches in the strategic planning and implementation of sustainable energy projects. The results identify Ham Thuan Nam District in Binh More >

Xiuyun Wang, Zipeng Zhang, Chuang Liu^*, Guoliang Bian

Energy Engineering, Vol.122, No.2, pp. 577-619, 2025, DOI:10.32604/ee.2024.056748 - 31 January 2025

Abstract As the power system transitions to a new green and low-carbon paradigm, the penetration of renewable energy in China’s power system is gradually increasing. However, the variability and uncertainty of renewable energy output limit its profitability in the electricity market and hinder its market-based integration. This paper first constructs a wind-solar-thermal multi-energy complementary system, analyzes its external game relationships, and develops a bi-level market optimization model. Then, it considers the contribution levels of internal participants to establish a comprehensive internal distribution evaluation index system. Finally, simulation studies using the IEEE 30-bus system demonstrate that the More >