Global Energy Interconnection最新文献_第2页

Advancing electric vehicle ecosystems: a survey of generative artificial intelligence and distributed machine learning applications 推进电动汽车生态系统：生成式人工智能和分布式机器学习应用调查

IF 2.6

Global Energy Interconnection Pub Date : 2026-04-01 Epub Date: 2026-03-07 DOI: 10.1016/j.gloei.2025.10.010

Seyed Mahmoud Sajjadi Mohammadabadi , Aidin Karimi Moghaddam , Mahmoudreza Entezami , Mirali Seyedrezaei , Dorsa Charkhian , Behzad Moghaddami , Mohammad Sassani

{"title":"Advancing electric vehicle ecosystems: a survey of generative artificial intelligence and distributed machine learning applications","authors":"Seyed Mahmoud Sajjadi Mohammadabadi , Aidin Karimi Moghaddam , Mahmoudreza Entezami , Mirali Seyedrezaei , Dorsa Charkhian , Behzad Moghaddami , Mohammad Sassani","doi":"10.1016/j.gloei.2025.10.010","DOIUrl":"10.1016/j.gloei.2025.10.010","url":null,"abstract":"<div><div>The growing popularity of Electric Vehicles (EVs) necessitates advanced systems capable of managing the increasing complexity of EV-generated data. However, the exponential expansion of data streams poses significant challenges to existing network infrastructure, potentially limiting EV performance and scalability. This survey investigates the synergistic potential of Generative Artificial Intelligence (GenAI) and Distributed Machine Learning (DML) to address key challenges and enhance EV efficiency across diverse domains. DML facilitates collaborative learning across decentralized devices, enabling optimized resource allocation, strengthened privacy, and improved EV operations without data centralization. Meanwhile, GenAI techniques, such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), offer transformative capabilities, including synthetic data generation for energy forecasting, data compression for efficient transmission, and resource-efficient task offloading. This paper explores the applications of GenAI and DML in several key areas of the EV ecosystem. These include battery lifecycle management, energy optimization, fault detection, and workload balancing. Furthermore, it highlights the primary advantages and challenges of implementing these technologies, such as addressing computational demands, algorithmic complexity, and mitigating biases in generated content. By advancing the integration of GenAI and DML, this study lays a foundation for a more sustainable, intelligent, and efficient transportation future.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"9 2","pages":"Pages 315-336"},"PeriodicalIF":2.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147807778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The impact of increased renewable energy penetration and reduced inertia on the frequency nadir in a multi-area interconnected network based on the peninsula Malaysia national grid 增加可再生能源渗透和减少惯性对基于马来西亚半岛国家电网的多区域互联网络频率最低点的影响

IF 2.6

Global Energy Interconnection Pub Date : 2026-04-01 Epub Date: 2026-02-05 DOI: 10.1016/j.gloei.2025.11.005

Ousama M.T. Ajami , Maadh S.J. Alkhusaibi , Rodney H.G. Tan , Farah Adilah Jamaludin , Mithulananthan Nadarajah

{"title":"The impact of increased renewable energy penetration and reduced inertia on the frequency nadir in a multi-area interconnected network based on the peninsula Malaysia national grid","authors":"Ousama M.T. Ajami , Maadh S.J. Alkhusaibi , Rodney H.G. Tan , Farah Adilah Jamaludin , Mithulananthan Nadarajah","doi":"10.1016/j.gloei.2025.11.005","DOIUrl":"10.1016/j.gloei.2025.11.005","url":null,"abstract":"<div><div>The increased adoption of renewable energy sources (RES) has left the power system grid with ever more decreasing inertia. The inertia plays a crucial part in mitigating frequency changes in the power system. Nevertheless, the extent how which the reduction of inertia affects an interconnected power system has not been studied, specifically the frequency nadir parameter. In this research, the effects of increasing RES penetration and the consecutive reduction in inertia have been studied, and their impact on the frequency nadir was investigated. A transfer function model of the power system frequency was developed based on the Malaysian peninsula interconnected grid, consisting of four regions. Four scenarios were tested, each of which focused on a specific region with varying levels of load disturbances and RES penetration levels. A performance metric, <span><math><msub><mi>m</mi><mrow><mi>FD</mi></mrow></msub></math></span><sub>,</sub> was proposed to measure the sensitivity of frequency nadir with different contingency levels at varying RE penetration. The scenarios demonstrated the nonlinear relation between the increase of RE and the frequency nadir. Furthermore, the relation of disturbance magnitude and frequency nadir was determined to be linear. The scenarios demonstrated the role of higher inertia regions in mitigating the effects of contingencies propagating to other regions. Moreover, regions with low inertia and higher interconnections showed more resilience when the contingency occurred outside their area. Conversely, they showed a higher risk for the system when the inertia happens within them. The results show the importance of maintaining inertia in high inertia grids and increasing it in lower inertia grids.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"9 2","pages":"Pages 372-385"},"PeriodicalIF":2.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147807774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimal reactive power planning in an industrial microgrid: a case study of Urmia Petrochemical plant 工业微电网中最优无功规划：以乌尔米亚石化厂为例

IF 2.6

Global Energy Interconnection Pub Date : 2026-02-01 Epub Date: 2025-10-09 DOI: 10.1016/j.gloei.2025.02.005

Maryam Majidzadeh , Mostafa Esmaeeli , Hadi Afkar , Sajjad Golshannavaz , Zhiyi Li

{"title":"Optimal reactive power planning in an industrial microgrid: a case study of Urmia Petrochemical plant","authors":"Maryam Majidzadeh , Mostafa Esmaeeli , Hadi Afkar , Sajjad Golshannavaz , Zhiyi Li","doi":"10.1016/j.gloei.2025.02.005","DOIUrl":"10.1016/j.gloei.2025.02.005","url":null,"abstract":"<div><div>In real industrial microgrids (MGs), the length of the primary delivery feeder to the connection point of the main substation is sometimes long. This reduces the power factor and increases reactive power absorption along the primary delivery feeder from the external network. Besides, the giant induction electro-motors as the working horse of industries requires remarkable amounts of reactive power for electro-mechanical energy conversions. To reduce power losses and operating costs of the MG as well as to improve the voltage quality, this study aims at providing an insightful model for optimal placement and sizing of reactive power compensation capacitors in an industrial MG. In the presented model, the objective function considers voltage profile and network power factor improvement at the MG connection point. Also, it realizes power flow equations within which all operational security constraints are considered. Various reactive power compensation strategies including distributed group compensation, centralized compensation at the main substation, and distributed compensation along the primary delivery feeder are scrutinized. A real industrial MG, say as Urmia Petrochemical plant, is considered in numerical validations. The obtained results in each scenario are discussed in depth. As seen, the best performance is obtained when the optimal location and sizing of capacitors are simultaneously determined at the main buses of the industrial plants, at the main substation of the MG, and alongside the primary delivery feeder. In this way, 74.81% improvement in power losses reduction, 1.3% lower active power import from the main grid, 23.5% improvement in power factor, and 37.5% improvement in network voltage deviation summation are seen in this case compared to the base case.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"9 1","pages":"Pages 208-218"},"PeriodicalIF":2.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147413966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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Control strategies for alkaline water electrolysis hydrogen production: a comprehensive review and future perspectives 碱水电解制氢控制策略综述及展望

IF 2.6

Global Energy Interconnection Pub Date : 2026-02-01 Epub Date: 2025-12-19 DOI: 10.1016/j.gloei.2025.10.008

Zihang Dong , Xiaojun Shen , Li Wei , Alfredo Iranzo , Jose I. Leon

{"title":"Control strategies for alkaline water electrolysis hydrogen production: a comprehensive review and future perspectives","authors":"Zihang Dong , Xiaojun Shen , Li Wei , Alfredo Iranzo , Jose I. Leon","doi":"10.1016/j.gloei.2025.10.008","DOIUrl":"10.1016/j.gloei.2025.10.008","url":null,"abstract":"<div><div>Driven by the global energy transition and carbon neutrality targets, alkaline water electrolysis has emerged as a key technology for coupling variable renewable generation with clean hydrogen production, offering considerable potential for absorbing surplus power and enhancing grid flexibility. However, conventional control architectures typically treat the power converter and electrolyzer as independent units, neglecting their dynamic interactions and thereby limiting overall system performance under practical operating conditions. This review critically examines existing control approaches, ranging from classical proportional-integral schemes to model predictive control, fuzzy-logic algorithms, and data-driven methods, evaluating their effectiveness in managing dynamic response, multivariable coupling, and operational constraints as well as their inherent limitations. Attention is then focused on the performance requirements of the hydrogen-production converter, including current ripple suppression, rapid transient response, adaptive thermal regulation, and stable power delivery. An integrated co‑control framework is proposed, aligning converter output with electrolyzer demand across steady-state operation, variable renewable input, and emergency shutdown scenarios to achieve higher efficiency, extended equipment lifetime, and enhanced operational safety. Finally, prospects for advancing unified control methodologies are outlined, with emphasis on constraint-aware predictive control, machine-learning-enhanced modeling, and real‑time co‑optimization for future alkaline electrolyzer systems.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"9 1","pages":"Pages 1-28"},"PeriodicalIF":2.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147413949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Bi-level optimization of configurations and scheduling for the multi-microgrid system (MMS) considering shared hybrid electric-hydrogen energy storage service 考虑共享电-氢混合储能服务的多微网系统双级优化配置与调度

IF 2.6

Global Energy Interconnection Pub Date : 2026-02-01 Epub Date: 2025-10-02 DOI: 10.1016/j.gloei.2025.09.001

Lu Li , Xulong Zhou , Shilong Chen , Guihong Bi , Zeliang Zhu , Yurui Fan

{"title":"Bi-level optimization of configurations and scheduling for the multi-microgrid system (MMS) considering shared hybrid electric-hydrogen energy storage service","authors":"Lu Li , Xulong Zhou , Shilong Chen , Guihong Bi , Zeliang Zhu , Yurui Fan","doi":"10.1016/j.gloei.2025.09.001","DOIUrl":"10.1016/j.gloei.2025.09.001","url":null,"abstract":"<div><div>Shared energy storage helps lower user investment costs and enhances energy efficiency, which is considered a pivotal driver in accelerating the green transition of energy sectors. In view of the increasing demand for hydrogen, this paper proposes a bi-level optimization of configurations and scheduling for combined cooling, heating, and power (CCHP) microgrid systems considering shared hybrid electric-hydrogen energy storage service. The upper-level model addresses the capacity allocation problem of energy storage stations, while the lower-level model optimizes the operational strategies for the multi-microgrid system(MMS). To resolve the complexity of the coupled bi-level problem, Karush-Kuhn-Tucker (KKT) conditions and the Big-M method are applied to reformulate it into a solvable mixed-integer linear programming (MILP) model, compatible with CPLEX. The economic viability and rationality of the proposed approach are verified through comparisons of three cases. Numerical results show that the proposed approach reduces user annual costs by 20.15% compared to MMS without additional energy storage equipment and achieves 100% renewable absorption. For operators, it yields 5.71 M CNY annual profit with 3.02-year payback. Compared to MMS with electricity sharing, it further cuts user costs by 3.84%, boosts operator profit by 60.71%, and shortens payback by 15.88%.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"9 1","pages":"Pages 51-67"},"PeriodicalIF":2.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147413951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on cooperative operation optimization of Nash-Stackelberg game in multiple virtual power plants under multiple uncertainties 多不确定条件下多虚拟电厂纳什- stackelberg博弈协同运行优化研究

IF 2.6

Global Energy Interconnection Pub Date : 2026-02-01 Epub Date: 2025-11-13 DOI: 10.1016/j.gloei.2025.10.005

Lei Dong , Shuaibo Zhang , Yang Li , Zibo Wang , Binwen Zhang , Hong Zhu , Wenlu Ji

{"title":"Research on cooperative operation optimization of Nash-Stackelberg game in multiple virtual power plants under multiple uncertainties","authors":"Lei Dong , Shuaibo Zhang , Yang Li , Zibo Wang , Binwen Zhang , Hong Zhu , Wenlu Ji","doi":"10.1016/j.gloei.2025.10.005","DOIUrl":"10.1016/j.gloei.2025.10.005","url":null,"abstract":"<div><div>This paper suggests a way to improve teamwork and reduce uncertainties in operations by using a game theory approach involving multiple virtual power plants (VPP). A generalized credibility-based fuzzy chance constraint programming approach is adopted to address uncertainties stemming from renewable generation and load demand within individual VPPs, while robust optimization techniques manage electricity and thermal price volatilities. Building upon this foundation, a hierarchical Nash-Stackelberg game model is established across multiple VPPs. Within each VPP, a Stackelberg game resolves the strategic interaction between the operator and photovoltaic prosumers (PVP). Among VPPs, a cooperative Nash bargaining model coordinates alliance formation. The problem is decomposed into two subproblems: maximizing coalitional benefits, and allocating cooperative surpluses via payment bargaining, solved distributively using the alternating direction method of multipliers (ADMM). Case studies demonstrate that the proposed strategy significantly enhances the economic efficiency and uncertainty resilience of multi-VPP alliances.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"9 1","pages":"Pages 186-207"},"PeriodicalIF":2.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147413967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Empirical analysis of electric vehicle charging load forecasting based on Monte Carlo simulation model 基于蒙特卡罗仿真模型的电动汽车充电负荷预测实证分析

IF 2.6

Global Energy Interconnection Pub Date : 2026-02-01 Epub Date: 2026-01-12 DOI: 10.1016/j.gloei.2025.12.003

Kun Wei , Guang Tian , Yang Yang , Xufeng Zhang , Yuanying Chi , Yi Zheng

引用次数: 0

From carbon reduction to negative carbon: a comprehensive review of regional integrated energy system planning theory and methods 从减碳到负碳：区域综合能源系统规划理论与方法综述

IF 2.6

Global Energy Interconnection Pub Date : 2026-02-01 Epub Date: 2026-01-12 DOI: 10.1016/j.gloei.2025.11.004

Ruopu Yang, Jia Liu, Mohan Lin, Pingliang Zeng

{"title":"From carbon reduction to negative carbon: a comprehensive review of regional integrated energy system planning theory and methods","authors":"Ruopu Yang, Jia Liu, Mohan Lin, Pingliang Zeng","doi":"10.1016/j.gloei.2025.11.004","DOIUrl":"10.1016/j.gloei.2025.11.004","url":null,"abstract":"<div><div>Driven by the global energy transition and the urgent “dual carbon” goals, regional integrated energy system (RIES) planning is undergoing a paradigm shift from carbon reduction to negative carbon emissions. This paper provides a comprehensive review of the theoretical frameworks and technical pathways for RIES planning from a carbon-centric perspective. A key contribution is the proposed Carbon-Energy-Economy (CEE) triple-dimensional governance framework, which endogenizes carbon factors into planning decisions through emission constraints, trading mechanisms, and capture technologies. We first analyze the fundamental characteristics of RIES and their critical role in achieving carbon neutrality, detailing advancements in multi-energy coupling models, energy router concepts, and standardized energy hub modeling. The paper further explores multi-energy flow analysis methods, and systematically compares the applicability and limitations of various planning algorithms, with emphasis on addressing uncertainties from renewable integration. Finally, we highlight the integration of artificial intelligence with traditional optimization methods, offering new pathways for intelligent, adaptive, and low-carbon RIES planning. This review underscores the transition towards data-physical fusion models, cooperative uncertainty optimization, multi-market planning, and innovative zero/negative-carbon technological routes.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"9 1","pages":"Pages 159-185"},"PeriodicalIF":2.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147413971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Coordinated control strategy for hybrid energy storage primary frequency regulation based on improved VMD algorithm and fuzzy neural network 基于改进VMD算法和模糊神经网络的混合储能一次调频协调控制策略

IF 2.6

Global Energy Interconnection Pub Date : 2026-02-01 Epub Date: 2026-01-14 DOI: 10.1016/j.gloei.2025.09.005

Ping Zhang, Ming Zhi Li, Chang Sheng Jiao

{"title":"Coordinated control strategy for hybrid energy storage primary frequency regulation based on improved VMD algorithm and fuzzy neural network","authors":"Ping Zhang, Ming Zhi Li, Chang Sheng Jiao","doi":"10.1016/j.gloei.2025.09.005","DOIUrl":"10.1016/j.gloei.2025.09.005","url":null,"abstract":"<div><div>Facing the economic challenges of significant frequency regulation wear and tear on thermal power units and short energy storage lifespan in thermal-energy storage combined systems participating in grid primary frequency regulation (PFR), this paper proposes a novel hybrid energy storage system (HESS) control strategy based on Newton-Raphson optimization algorithm(NRBO)-VMD and a fuzzy neural network (FNN) for <span><span>PFR. In</span><svg><path></path></svg></span> the primary power allocation stage, the high inertia and slow response of thermal power units prevent them from promptly responding to the high-frequency components of PFR signals, leading to increased mechanical stress. To address the distinct response characteristics of thermal units and HESS, an NRBO-VMD based decomposition method for PFR signals is proposed, enabling a flexible system response to grid frequency deviations.Within the HESS, an adaptive coordinated control strategy and a State of Charge (SOC) self-recovery strategy are introduced. These strategies autonomously adjust the virtual inertia and droop coefficients based on the depth of frequency regulation and the real-time SOC. Furthermore, a FNN is constructed to perform secondary refinement of the internal power distribution within the HESS.Finally, simulations under various operational conditions demonstrate that the proposed strategy effectively mitigates frequent power adjustments of the thermal unit during PFR, adaptively achieves optimal power decomposition and distribution, maintains the flywheel energy storage’s SOC within an optimal range, and ensures the long-term stable operation of the HESS.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"9 1","pages":"Pages 119-130"},"PeriodicalIF":2.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147413968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Planning model for electro–hydrogen coupling systems for multistage emission reduction and carbon–green-certificate markets 多级减排和碳绿色证书市场电氢耦合系统规划模型

IF 2.6

Global Energy Interconnection Pub Date : 2026-02-01 Epub Date: 2025-12-30 DOI: 10.1016/j.gloei.2025.09.003

Jingbo Zhao , Zhengping Gao , Tianhui Zhao , Cheng Huang , Zhe Chen , Dajiang Wang

{"title":"Planning model for electro–hydrogen coupling systems for multistage emission reduction and carbon–green-certificate markets","authors":"Jingbo Zhao , Zhengping Gao , Tianhui Zhao , Cheng Huang , Zhe Chen , Dajiang Wang","doi":"10.1016/j.gloei.2025.09.003","DOIUrl":"10.1016/j.gloei.2025.09.003","url":null,"abstract":"<div><div>Hydrogen, as a zero-carbon secondary energy carrier, provides a unified pathway for low-carbon energy transformation. In electro–hydrogen coupling systems (EHCSs), surplus renewable power is stored via water electrolysis and later reconverted to electricity using fuel cells or gas turbines, enhancing the system’s flexibility and reliability in support of deep decarbonization. This study constructs an electricity–hydrogen energy-recycling model based on a coupling relationship considering the bidirectional conversion between electricity and hydrogen. A multistage carbon-emission-reduction indicator constraint is also established. Additionally, the green-certificate and carbon trading markets are introduced to optimize equipment investment and operation costs while achieving carbon-emission reduction. A case study reveals that the proposed EHCS planning model effectively allocates carbon emissions across different system stages, while mitigating economic repercussions, thus ensuring closer alignment with China’s emission-reduction policies. Incorporating diverse market mechanisms significantly enhances the system’s economy and decision-making flexibility, particularly in addressing future challenges in the energy market.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"9 1","pages":"Pages 68-82"},"PeriodicalIF":2.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147413952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0