Toward a Resilient and Sustainable Urban Power Grid: Challenges and AI-Driven Solutions
A special issue of Sustainability (ISSN 2071-1050).
Deadline for manuscript submissions: 31 January 2027 | Viewed by 315
Editors
Interests: resilience assessment and enhancement of smart grids; power system security and stability
Special Issues, Collections and Topics in MDPI journals
Interests: deep reinforcement learning; multi-agent systems; human-in-the-loop machine learning
Interests: machine learning for energy systems; flexibility service provision; community energy system optimization; peer-to-peer energy trading; energy system resilience
Special Issues, Collections and Topics in MDPI journals
Interests: demand response; load control; electricity markets
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The global shift towards decarbonized energy systems is deepening the integration of distributed renewables and electrification within cities, fundamentally transforming urban power grids. Concurrently, the increasing frequency and severity of extreme weather events such as hurricanes, floods, and heatwaves poses severe threats to grid reliability. This convergence creates a critical imperative: urban grids must achieve sustainability while radically enhancing their resilience to withstand and rapidly recover from major disruptions. Traditional planning and operational methods often lack the adaptability and predictive capabilities required for these complex, high-stakes scenarios.
Artificial Intelligence (AI) has emerged as a pivotal enabler in this context. By leveraging machine learning, data analytics, and other AI technologies, it becomes possible to analyze vast datasets for predictive damage assessment, optimize real-time grid response and restoration, and automate critical decision-support processes. This Special Issue seeks original research addressing the integrated challenges of urban grid resilience against extreme weather in the energy transition era. We particularly welcome contributions that develop, evaluate, and showcase novel AI-driven methodologies, frameworks, and solutions designed to make urban electricity infrastructures more robust, adaptive, and sustainable.
We invite submissions on a wide range of topics, including, but not limited to, the following:
- Methods for forecasting extreme weather events;
- Modeling and simulation of extreme weather disaster impacts via the integration of models and data;
- Situational awareness and risk assessments of urban power grids;
- Resilience-oriented investment in infrastructure upgrades and resources planning;
- Real-time AI for the adaptive operation of power grids during and immediately after extreme events;
- AI-driven restoration and recovery of power grids.
Dr. Chao Qin
Dr. Bei Peng
Dr. Chao Long
Dr. Xiaolong Jin
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- resilience
- urban power grids
- AI
- preparation
- restoration
- situational awareness
- extreme events
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