Integrating Evolutionary Game-Theoretical Methods and Deep Reinforcement Learning for Adaptive Strategy Optimization in User-Side Electricity Markets: A …

L Cheng, X Wei, M Li, C Tan, M Yin… - Mathematics (2227 …, 2024 - search.ebscohost.com
With the rapid development of smart grids, the strategic behavior evolution in user-side
electricity market transactions has become increasingly complex. To explore the dynamic …

Management of resilient urban integrated energy system: State-of-the-art and future directions

R Hu, K Zhou, J Yang, H Yin - Journal of Environmental Management, 2024 - Elsevier
The urban integrated energy system (UIES) is the fundamental infrastructure supporting the
operation of resilient cities. The resilience of UIES plays a critical role in effectively …

Effects of Extreme Weather Conditions on PV Systems

M Bošnjaković, M Stojkov, M Katinić, I Lacković - Sustainability, 2023 - mdpi.com
We are witnessing significant climatic changes and increasingly frequent extreme weather
conditions affecting every part of the globe. In order to reduce and stop these unfavourable …

MCS-ML based line vulnerability for infrastructural resilience assessment with multi-wind speed cyclonic zones

AK Gupta, K Verma - Computers and Electrical Engineering, 2024 - Elsevier
The resilience of critical infrastructure is paramount for power systems prone to cyclonic
activities characterized by varying wind speeds. This study conducts a thorough examination …

A Deep Learning-Based Method for Power System Resilience Evaluation

X Wang, C Wang - arXiv preprint arXiv:2501.04830, 2025 - arxiv.org
Power systems are critical infrastructure in modern society, and power outages can cause
significant disruptions to communities and individuals' daily lives. The resilience of a power …

Using Generative Models to Produce Realistic Populations of the United Kingdom Windstorms

EYC Tsoi - arXiv preprint arXiv:2409.10696, 2024 - arxiv.org
Windstorms significantly impact the UK, causing extensive damage to property, disrupting
society, and potentially resulting in loss of life. Accurate modelling and understanding of …

欧洲大范围跨国电力互联在极端天气下电力安全保供中的作用分析

赵腾, 高艺, 邬炜, 毛宇晗 - 全球能源互联网, 2024 - epjournal.csee.org.cn
随着全球气候变化不断加剧, 极端天气对电力系统的影响日益增强, 电网在电力安全保供中发挥
的作用愈发受到关注. 欧洲电网作为世界上规模最大的跨国互联电网, 其在极端天气下的电力 …

Application of Machine Learning Techniques in Hydrometeorological Event Prediction

A Msigwa, AS Makinde - Modeling and Monitoring Extreme …, 2024 - igi-global.com
Hydrometeorological events, such as floods and droughts, pose significant challenges to
societies worldwide, causing loss of life and economic damage. Traditional methods of …

Risk Assessment Framework for Intelligent Transmission and Distribution Systems Based on Runtime Validation

Y Li, X Duan, Y Xu, C Zhao - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
How to effectively manage the transmission and distribution system and reduce potential
risks is a thought-provoking issue. In response to the above issues, this project plans to build …