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Large supercomputing facilities are critical to research in many areas that impact on decisions such as how to address the current climate emergency. For example, climate modelling, renewable energy facility design and new battery…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-09-12 Adrian Jackson , Alan Simpson , Andrew Turner

Extreme weather events have an enormous impact on society and are expected to become more frequent and severe with climate change. In this context, resilience planning becomes crucial for risk mitigation and coping with these extreme…

The concept of low-carbon building is proposed to ameliorate the climate change caused by environmental problems and realize carbon neutrality at the building level in urban areas. In addition, renewable energy curtailment in the power…

Systems and Control · Electrical Eng. & Systems 2022-03-22 Zuxun Xiong , Xinwei Shen , Qinglai Guo , Hongbin Sun

Responses to the global climate crisis often focus on the largest current emitters of greenhouse gases. However, analysis shows that about a third of emissions come from a collection of small emitters, each contributing one- to two-percent…

Atmospheric and Oceanic Physics · Physics 2023-08-15 A. D. J. Haymet

Numerical climate models are used to project future climate change due to both anthropogenic and natural causes. Differences between projections from different climate models are a major source of uncertainty about future climate. Emergent…

Applications · Statistics 2020-02-06 Philip G. Sansom , David B. Stephenson , Thomas J. Bracegirdle

Short-term load forecasting is an essential task that supports utilities to schedule generating sufficient power for balancing supply and demand, and can become an attractive target for cyber attacks. It has been shown that the power system…

Systems and Control · Electrical Eng. & Systems 2022-03-09 Mojtaba Dezvarei , Kevin Tomsovic , Jinyuan Stella Sun , Seddik M. Djouadi

We investigate the issue of "dangerous human-made interference with climate" using simulations with GISS modelE driven by measured or estimated forcings for 1880-2003 and extended to 2100 for IPCC greenhouse gas scenarios as well as the…

Recently, deep learning has emerged as a promising tool for statistical downscaling, the set of methods for generating high-resolution climate fields from coarse low-resolution variables. Nevertheless, their ability to generalize to climate…

Machine Learning · Computer Science 2023-05-03 Jose González-Abad , Jorge Baño-Medina

Modern society's reliance on power systems is at risk from the escalating effects of wind-related climate change. Yet, failure to identify the intricate relationship between wind-related climate risks and power systems could lead to serious…

Systems and Control · Electrical Eng. & Systems 2024-01-26 Jiaqi Ruan , Xiangrui Meng , Yifan Zhu , Gaoqi Liang , Xianzhuo Sun , Huayi Wu , Huijuan Xiao , Mengqian Lu , Pin Gao , Jiapeng Li , Wai-Kin Wong , Zhao Xu , Junhua Zhao

The growing prevalence of extreme weather events driven by climate change poses significant challenges to power system resilience. Infrastructure damage and prolonged power outages highlight the urgent need for effective grid-hardening…

Systems and Control · Electrical Eng. & Systems 2026-01-30 Sifat Chowdhury , Yihsu Chen , Yu Zhang

Climate change is a major threat to humanity, and the actions required to prevent its catastrophic consequences include changes in both policy-making and individual behaviour. However, taking action requires understanding the effects of…

Global Climate Models (GCMs) are numerical models that simulate complex physical processes within the Earth's climate system and are essential for understanding and predicting climate change. However, GCMs suffer from systemic biases due to…

Applications · Statistics 2026-02-23 Reetam Majumder , Shiqi Fang , A. Sankarasubramanian , Emily C. Hector , Brian J. Reich

Recent embedded systems are designed with high-performance System-on-Chips (SoCs) to satisfy the computational needs of complex applications widely used in real life, such as airplane controllers, autonomous driving automobiles, medical…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-01-01 Seyed Mehdi Hosseini Motlagh

Owing to their wavelengths dependent absorption and scattering properties, clouds have a strong impact on the climate of planetary atmospheres. Especially, the potential greenhouse effect of CO2 ice clouds in the atmospheres of terrestrial…

Earth and Planetary Astrophysics · Physics 2015-06-16 D. Kitzmann , A. B. C. Patzer , H. Rauer

Whole-economy scenarios for limiting global warming to 1.5C suggest that direct carbon emissions in the buildings sector should decrease to almost zero by 2050, but leave unanswered the question how this could be achieved by real-world…

Economics · Quantitative Finance 2018-05-08 Florian Knobloch , Hector Pollitt , Unnada Chewpreecha , Vassilis Daioglou , Jean-Francois Mercure

Due to the established energy production methods contribution to the climate crisis, renewable energy is to replace a substantial part of coal or nuclear plants to prevent greenhouse gases or toxic waste entering the atmosphere. This…

Other Computer Science · Computer Science 2022-04-05 Vincent Meilinger

Traditional emergency control schemes in power systems usually accompany with power interruption yielding severely economic damages to customers. This paper sketches the ideas of a viable alternative for traditional remedial controls for…

Systems and Control · Computer Science 2015-11-27 Thanh Long Vu , Spyros Chatzivasileiadis , Konstantin Turitsyn

Environmentally-powered computer systems operate on renewable energy harvested from their environment, such as solar or wind, and stored in batteries. While harvesting environmental energy has long been necessary for small-scale embedded…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-05-02 Noman Bashir , Yasra Chandio , David Irwin , Fatima M. Anwar , Jeremy Gummeson , Prashant Shenoy

Assessing the consistency between short-term global temperature trends in observations and climate model projections is a challenging problem. While climate models capture many processes governing short-term climate fluctuations, they are…

Atmospheric and Oceanic Physics · Physics 2013-09-23 Patrick J. Michaels , Paul C. Knappenberger , John R. Christy , Chad S. Herman , Lucia M. Liljegren , James D. Annan

Building design optimization often depends on physics-based simulation tools such as EnergyPlus, which, although accurate, are computationally expensive and slow. Surrogate models provide a faster alternative, yet most are…

Machine Learning · Computer Science 2026-03-13 Piragash Manmatharasan , Girma Bitsuamlak , Katarina Grolinger