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Special Session SS06

Renewable Energy Utilization and Remote Autonomous Technology for Off-Grid Microgrids in Polar/Polar-Like Environments


Introduction:

While renewable energy utilization is accelerating worldwide, with solar, wind, and other sources powering communities and industries, its deployment in off-grid microgrids encounters profound obstacles in the planet's most unforgiving frontiers. Polar regions-encompassing the Arctic and Antarctic-alongside polar-like harsh environments such as high-latitude tundras, alpine plateaus, subzero wildernesses, and potential off-world habitats like lunar or Martian bases-impose conditions that test the resilience of energy infrastructures to their core. Elements including unrelenting sub-zero temperatures dropping to -60℃ or lower, extended polar nights with minimal solar input, logistical isolation spanning seasons, aggressive wind-driven snow accumulation, ground instability from thawing permafrost, constrained maintenance windows, and stringent ecological protections to preserve pristine habitats, necessitate groundbreaking advancements in power system design.
Nevertheless, the imperative for autonomous, sustainable energy solutions in these remote locales is escalating. Isolated scientific outposts, nomadic indigenous settlements, resource extraction sites, and exploratory missions all hinge on uninterrupted power for survival, communication, and operations. Traditionally dependent on fuel-intensive diesel systems that are costly to transport, prone to mechanical failures in cold, and environmentally detrimental through emissions and spills, the pivot to renewables integrated with remote autonomous technologies is not merely advantageous; it is critical for enhancing energy independence, mitigating climate impacts, optimizing expenditures, and ensuring operational continuity.Topics include, but are not limited to:
1. Adaptability Assessment and Optimization Strategies for Renewable Energy Generation Technologies in Extreme Environments;
2. Collaborative Optimization of Energy Storage and System Management Considering Uncertainty;
3. Intelligent Monitoring Technology Based on Remote Autonomy and Its Application in Energy Systems;
4. Resilience Assessment and Enhancement Strategies for Distribution Networks Considering Uncertainty of Extreme Weather



SS06's Session Chair:


Prof. Bin Wang, Tsinghua University, China

SS06's Session Co-chairs:


Assistant Researcher Yu Su, Tsinghua University, China

Lecturer Yuchen Wang, Taiyuan University of Technology, China


Paper Review


1. All papers will undergo a thorough peer review process. Accepted full papers that are presented at the conference will be published in proceedings.

2. The corresponding author is responsible for ensuring that the article’s publication has been approved by all other co-authors and takes responsibility for the paper during submission and peer review.

3. Review comments will be communicated to you and you may require to do necessary revisions and send revised paper on or before prescribed day.


Call for Reviewers


Reviewers evaluate article submissions to IEECSC, based on the requirements of the conference proceedings, predefined criteria, and quality, completeness and accuracy of the research presented. They suggest improvements and make a recommendation to the editor about whether to accept, reject or request changes to the article. We sincerely welcome experts in the areas of Electrical Engineering and Energy join the conference as reviewer. If you are interested in joining IEECSC as Reviewer, please click the below button to submit your information.

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Plagiarism Policy


The content of any submissions should be original and must not be submitted simultaneously for consideration towards publication in any other conference or journal. Reuse of material previously published by the authors is possible under the conditions that the authors fully disclose (cite) the reference and clearly highlight the innovative contribution of the IEECSC 2026 submission and the significance of this contribution.