Global Energy Interconnection-China

Scope & Guideline

Connecting Innovations in Energy for a Sustainable Future

Introduction

Delve into the academic richness of Global Energy Interconnection-China with our guidelines, detailing its aims and scope. Our resource identifies emerging and trending topics paving the way for new academic progress. We also provide insights into declining or waning topics, helping you stay informed about changing research landscapes. Evaluate highly cited topics and recent publications within these guidelines to align your work with influential scholarly trends.
LanguageEnglish
ISSN2096-5117
PublisherKEAI PUBLISHING LTD
Support Open AccessYes
CountryChina
TypeJournal
Convergefrom 2018 to 2024
AbbreviationGLOB ENERG INTER-PRC / Glob. Energy Interconnect.
Frequency6 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address16 DONGHUANGCHENGGEN NORTH ST, Building 5, Room 411, BEIJING, DONGCHENG DISTRICT 100009, PEOPLES R CHINA

Aims and Scopes

The journal "Global Energy Interconnection-China" focuses on advancing the understanding and integration of renewable energy systems and smart grid technologies, contributing to the global transition towards sustainable energy solutions.
  1. Integrated Energy Systems:
    The journal emphasizes research on integrated energy systems that combine various energy sources, including renewables such as wind, solar, and hydrogen, to improve efficiency and sustainability.
  2. Smart Grid and Cyber-Physical Systems:
    It covers advancements in smart grid technologies and cyber-physical systems, focusing on enhancing the reliability, security, and efficiency of energy distribution and consumption.
  3. Energy Storage and Management:
    Research on energy storage solutions and management strategies is a core focus, addressing the challenges of fluctuating renewable energy supply and ensuring grid stability.
  4. Carbon Emissions and Sustainability:
    The journal explores methodologies for evaluating and reducing carbon emissions in energy systems, contributing to global sustainability goals.
  5. Data-Driven Approaches and AI:
    There is a strong emphasis on data-driven methodologies, including machine learning and AI, for optimizing energy system operations and predictive maintenance.
  6. Policy and Economic Analysis:
    The journal also engages in the policy and economic aspects of energy interconnection and sustainability, providing insights into market dynamics and regulatory frameworks.
Recent publications in the journal indicate a clear trend towards innovative and interdisciplinary approaches to energy interconnection and management, reflecting the evolving landscape of energy research.
  1. Decentralized Energy Systems:
    There is a growing emphasis on decentralized energy production and management systems, including microgrids and peer-to-peer energy trading, which enhance local energy resilience.
  2. Advanced Energy Storage Technologies:
    Research on advanced energy storage technologies, such as battery systems and hydrogen storage, is gaining traction as solutions to support renewable energy integration.
  3. Cybersecurity in Energy Systems:
    With the increasing digitization of energy systems, cybersecurity has become a critical focus, addressing vulnerabilities in smart grid infrastructures.
  4. Integration of AI in Energy Management:
    The application of artificial intelligence and machine learning for optimizing energy management, predictive maintenance, and operational efficiency is emerging as a significant theme.
  5. Multi-Energy Coupling and Optimization:
    Research on multi-energy coupling, where different energy carriers (electricity, heat, hydrogen) are integrated for optimized performance, is on the rise.
  6. Climate Change Mitigation Strategies:
    The journal is increasingly focusing on strategies for climate change mitigation, including carbon trading and sustainable energy policies.

Declining or Waning

While the journal continues to cover a broad range of topics, certain themes have shown a decline in prominence, possibly due to shifting research interests or advancements in technology.
  1. Conventional Energy Systems:
    Research focused on traditional energy generation methods, such as coal and natural gas, has decreased as the emphasis shifts towards renewable energy and sustainability.
  2. Simple Energy Forecasting Models:
    There is a waning interest in basic energy forecasting models, with researchers moving towards more complex, data-driven approaches that incorporate machine learning and AI.
  3. Static Grid Management Techniques:
    Static approaches to grid management are becoming less common, as dynamic and adaptive strategies gain importance in the context of smart grids and real-time data utilization.
  4. Basic Energy Efficiency Measures:
    The focus on basic energy efficiency measures is diminishing, with more attention being given to comprehensive integrated strategies that encompass multiple energy sources and technologies.

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