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  • Open Access

    ARTICLE

    Optimizing Forecast Accuracy in Photovoltaic System with Hybrid Artificial Intelligence Model

    Yasemin Onal*

    CMC-Computers, Materials & Continua, Vol.88, No.3, 2026, DOI:10.32604/cmc.2026.082593 - 23 July 2026

    Abstract Photovoltaic (PV) power generation exhibits considerable sensitivity to both weather variability and fluctuations in solar irradiance. Consequently, precise forecasting of PV power is crucial for ensuring grid reliability, load balancing, and the effective functioning of energy markets within a grid-connected solar plant. Conventional forecasting methodologies frequently prove inadequate in accurately capturing the nonlinear and intricate temporal patterns present within PV datasets. To address these shortcomings, this research presents a hybrid short-term PV power forecasting model. This model integrates Neighborhood Component Analysis (NCA) for dimensionality reduction with a Convolutional Neural Network (CNN)-Long Short-Term Memory (LSTM) framework.… More >

  • Open Access

    ARTICLE

    Optimized Sustainable Hybridization Through Holistic Multi-Platform Simulation: Enhancing Dynamic Response in Solar-Wind-Battery Energy Systems

    Riad Mollik Babu1, Md Shafiul Alam2,*, Md. Hasibur Rahman3, Mohammad Ali2, Md. Alamgir Hossain4, Md. Arifuzzaman5

    CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.3, 2026, DOI:10.32604/cmes.2026.082366 - 30 June 2026

    Abstract The increasing penetration of solar photovoltaic (PV) systems into power grids poses challenges due to their inherent intermittency and variability, which can compromise grid stability and reliability. Hybridizing solar PV with wind energy and battery energy storage system (BESS) offers a promising solution by leveraging resource complementarity and providing fast frequency response. This study presents a techno-economic and environmental assessment of a hybrid renewable energy system. Wind turbines and a BESS are integrated with the existing 7.5 MW Sirajganj Solar PV Power Plant in Bangladesh. The proposed hybrid configuration is evaluated using real-world operational data… More >

  • Open Access

    REVIEW

    Next-Generation Wind Hybrid Energy Systems: Grid-Interactive, Hydrogen-Enabled, and AI-Orchestrated Pathways for Sustainable Electrification

    Jalpa Thakkar1, Siddharth Shankar Mishra2, V. Shanmugapriya3, Mohan Kolhe4,*

    Energy Engineering, Vol.123, No.7, 2026, DOI:10.32604/ee.2026.078267 - 18 June 2026

    Abstract The big challenge in developing wind energy over the past century, which has focused on environmentally friendly production methods to meet the requirements of modern power systems, is the need for holistic architectures that can cope with variability, connection issues, and sector coupling far beyond conventional electricity-only models. This review offers a critically synthesized, process-level overview of progressive wind–hydrogen hybrids, offering a collective view of advancements in electrical layouts, hydrogen-driven conversion routes, and AI-driven control schemes. In contrast to previous surveys that consider these areas in isolation, we provide an explicit examination of the technical… More >

  • Open Access

    ARTICLE

    Optimal Scheduling of Integrated Energy Systems with P2G-CCS Coupling and Hydrogen-Blended Natural Gas under Tiered Carbon Trading

    Yansen Sun1,2, Yi Ding3, Hualei Cui4, Yuanchao Hui5, Yupeng He1,2,*

    Energy Engineering, Vol.123, No.7, 2026, DOI:10.32604/ee.2025.072860 - 18 June 2026

    Abstract Integrated energy systems (IES) are pivotal for achieving low-carbon transitions, yet their optimization under carbon constraints remains challenging. This paper proposes an optimal scheduling model for IES that synergistically combines power-to-gas coupled with carbon capture systems (P2G-CCS) and hydrogen-blended natural gas under a tiered carbon trading mechanism. The model innovatively refines the P2G process into two stages (electrolysis and methanation), utilizing methanation reaction heat to enhance efficiency. It further incorporates hydrogen blending into gas turbines and boilers and implements a tiered carbon trading mechanism to constrain emissions. The objective is to minimize total costs, including… More >

  • Open Access

    ARTICLE

    Towards Resilient Cities: Robust Selection of Rooftop Renewable Energy Technologies in Mediterranean Multifamily Buildings

    Federico Minelli1,*, Diana D’Agostino1, Vennapusa Jagadeeswara Reddy2, Panagiotis Michailidis3,4

    Energy Engineering, Vol.123, No.6, 2026, DOI:10.32604/ee.2026.074048 - 27 May 2026

    Abstract This study investigates the problem of prioritizing rooftop renewable energy (RE) system configurations for a multi-family residential building in Mediterranean climate. The analysis focuses on fixed-tilt photovoltaics (PV), single-axis and dual-axis tracking PV, and small vertical-axis wind turbines (VAWT), each assessed with and without lithium-ion storage. A co-simulation framework is used, coupling EnergyPlus building-HVAC system simulation with PV and wind generation modeling and rule-based battery dispatch to evaluate hourly demand–supply interactions. Three decision criteria are considered for each alternative: total system cost, annual building electric energy demand reduction, and net avoided life-cycle emissions. Stakeholder preferences… More > Graphic Abstract

    Towards Resilient Cities: Robust Selection of Rooftop Renewable Energy Technologies in Mediterranean Multifamily Buildings

  • Open Access

    ARTICLE

    Robust Optimal Scheduling of Integrated Energy Systems Considering Waste Heat Recovery from Power-to-Ammonia and Ammonia Cofiring Substitution

    Xingzuo Pan1, Yi Ding2, Zhilong Wei3, Tonglin Liu4, Jianxin Ni5, Yupeng He1,*

    Energy Engineering, Vol.123, No.6, 2026, DOI:10.32604/ee.2025.072849 - 27 May 2026

    Abstract Wind and photovoltaic generation integration into power systems has steadily increased in recent years. To mitigate increasing renewable curtailment and deteriorating operational economics associated with high penetrations of wind and PV, this paper develops a robust optimal scheduling framework for integrated energy systems that integrates waste-heat recovery from power-to-ammonia (P2A) processes and ammonia cofiring as a substitution strategy. First, the energy transfer pathways of electricity–heat, ammonia, and the heat release characteristics of the entire P2A process are analyzed, enabling waste heat recovery throughout the conversion process. Second, considering the low-carbon characteristics of ammonia cofiring in… More >

  • Open Access

    REVIEW

    Supercapacitors in Modern Energy Systems: A Critical Review of Materials, Architectures, Digital Twins, AI Integration, and Applications

    Rajanand Patnaik Narasipuram1,*, Md M. Pasha2, Suresh Badugu3, Saleha Tabassum4, Attuluri R.Vijay Babu5, Bharath Kumar N5, Amit Singh Tandon6

    Energy Engineering, Vol.123, No.5, 2026, DOI:10.32604/ee.2026.076542 - 27 April 2026

    Abstract Supercapacitors are increasingly deployed as high power buffers in modern energy systems, yet their broader impact is constrained by limited energy density, fragmented testing practices, and incomplete understanding of lifecycle implications. This article presents a critical, method driven review based on a structured literature survey and explicit inclusion criteria, aggregating quantitative performance data for major electrode families (carbon materials, transition metal oxides, conducting polymers, biomass derived carbons, MXenes, and hybrid composites), electrolytes (aqueous, organic, ionic liquid, and gel/solid state), and device architectures (flexible, micro, solid state, lithium ion capacitors, and structural supercapacitors) under harmonized metrics… More > Graphic Abstract

    Supercapacitors in Modern Energy Systems: A Critical Review of Materials, Architectures, Digital Twins, AI Integration, and Applications

  • Open Access

    EDITORIAL

    Introduction to the Special Issue on Advanced Artificial Intelligence and Machine Learning Methods Applied to Energy Systems

    Wei-Chiang Hong1,*, Yi Liang2

    CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.3, 2026, DOI:10.32604/cmes.2026.080415 - 30 March 2026

    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    Optimized Scheduling of an Integrated Electro-Gas Energy System with Hydrogen Storage Utilizing Information Gap Decision Theory

    Xu Liu*, Hongsheng Su

    Energy Engineering, Vol.123, No.4, 2026, DOI:10.32604/ee.2025.072246 - 27 March 2026

    Abstract Further investigation is warranted into the collaborative function of carbon capture and electrolysis-to-gas conversion technologies within integrated electro-gas energy systems, as well as optimized scheduling that addresses the variability of wind and solar energy, to promote multi-energy complementarity and energy decarbonization while enhancing the capacity to absorb new energy. This work presents an optimized scheduling model for electro-gas integrated energy systems that include hydrogen storage, utilizing information gap decision theory (IGDT). A model is constructed that integrates the synergistic functions of carbon capture and storage (CCS), power-to-gas (P2G), and gas turbine units through electrical coupling.… More >

  • Open Access

    ARTICLE

    Gradient Descent-Based Prediction of Heat-Transmission Rate of Engine Oil-Based Hybrid Nanofluid over Trapezoidal and Rectangular Fins for Sustainable Energy Systems

    Maddina Dinesh Kumar1,#, S. U. Mamatha2, Khalid Masood3, Nehad Ali Shah4,#, Se-Jin Yook1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.1, 2026, DOI:10.32604/cmes.2025.074680 - 29 January 2026

    Abstract Fluid dynamic research on rectangular and trapezoidal fins is aimed at increasing heat transfer by means of large surfaces. The trapezoidal cavity form is compared with its thermal and flow performance, and it is revealed that trapezoidal fins tend to be more efficient, particularly when material optimization is critical. Motivated by the increasing need for sustainable energy management, this work analyses the thermal performance of inclined trapezoidal and rectangular porous fins utilising a unique hybrid nanofluid. The effectiveness of nanoparticles in a working fluid is primarily determined by their thermophysical properties; hence, optimising these properties… More >

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