Extreme weather events on energy systems: a comprehensive review on impacts, mitigation, and adaptation measures

ACR Gonçalves, X Costoya, R Nieto… - Sustainable Energy …, 2024 - Springer
Energy systems (ES) are seriously affected by climate variability since energy demand and
supply are dependent on atmospheric conditions at several time scales and by the impact of …

[HTML][HTML] Spatiotemporal characteristics of meteorological to hydrological drought propagation under natural conditions in China

Q Zhang, C Miao, J Gou, J Wu, W Jiao, Y Song… - Weather and Climate …, 2022 - Elsevier
Understanding the time required for meteorological drought to propagate to hydrological
drought is crucial for producing early warnings of future hydrological droughts. However …

Environmental-economic analysis of the secondary use of electric vehicle batteries in the load shifting of communication base stations: A case study in China

J Yang, M Weil, F Gu - Journal of Energy Storage, 2022 - Elsevier
Frequent electricity shortages undermine economic activities and social well-being, thus the
development of sustainable energy storage systems (ESSs) becomes a center of attention …

Designing off-grid renewable energy systems for reliable and resilient operation under stochastic power supply outages

MS Javed, J Jurasz, TH Ruggles, I Khan… - Energy Conversion and …, 2023 - Elsevier
The power supply from solar and wind generators is not only inherently variable but also
prone to failure due to rare-weather related events, ie, hailstorms, icing. Current system …

[HTML][HTML] Case beyond historical severity: Winds, faults, outages, and costs for electric grid

J Jasiūnas, I Láng-Ritter, T Heikkinen, PD Lund - Applied Energy, 2024 - Elsevier
In recent years, global energy systems have experienced multiple disruptions from known
threats at unprecedented severity, causing costly impacts in broader and unexpected …

Machine learning for modern power distribution systems: Progress and perspectives

M Marković, M Bossart, BM Hodge - Journal of Renewable and …, 2023 - pubs.aip.org
The application of machine learning (ML) to power and energy systems (PES) is being
researched at an astounding rate, resulting in a significant number of recent additions to the …

[HTML][HTML] Community power outage prediction modeling for the Eastern United States

WO Taylor, D Cerrai, D Wanik, M Koukoula… - Energy Reports, 2023 - Elsevier
Abstract In the United States, weather-related power outages cost the economy tens of
billions annually, and there has been an upward trend in billion-dollar disasters over the last …

Spatiotemporal variability of vegetation response to meteorological drought on the Korean Peninsula

H Jung, J Won, S Kang, S Kim - Hydrology Research, 2023 - iwaponline.com
To assess vegetation drought, it is important to understand the relationship between climate
and vegetation and to accurately measure the response of vegetation activity to …

Characterization of the propagation of meteorological drought using the copula model

H Jung, J Won, S Kang, S Kim - Water, 2022 - mdpi.com
Drought is a phenomenon that is caused by several factors and can be divided into
meteorological drought, agricultural drought, hydrological drought, and socioeconomic …

Integrating Structural Vulnerability Analysis and Data-Driven Machine Learning to Evaluate Storm Impacts on The Power Grid

PL Watson, W Hughes, D Cerrai, W Zhang… - IEEE …, 2024 - ieeexplore.ieee.org
The complex interactions between the weather, the environment, and electrical infrastructure
that result in power outages are not fully understood, but because of the threat of climate …