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Risk-based electric power system planning for climate change mitigation through multi-stage joint-probabilistic left-hand-side chance-constrained fractional …
L Wang, G Huang, X Wang, H Zhu - Renewable and Sustainable Energy …, 2018 - Elsevier
Climate change mitigation by reducing greenhouse gas emissions is one of the major
challenges for existing electric power systems. This study presents a multi-stage joint …
challenges for existing electric power systems. This study presents a multi-stage joint …
A novel statistical downscaling approach for analyzing daily precipitation and extremes under the impact of climate change: Application to an arid region
Q Zhang, YP Li, GH Huang, H Wang, YF Li, YR Liu… - Journal of …, 2022 - Elsevier
Statistical downscaling of daily precipitation is important for assessing the impact of climate
change. However, some issues (eg, the underestimation of extremes) limit statistical …
change. However, some issues (eg, the underestimation of extremes) limit statistical …
Development of enthalpy-based climate indicators for characterizing building cooling and heating energy demand under climate change
The global warming trend is considered to significantly reshape the energy budgets of
buildings in the future. Traditional characterization indices (ie, HDDs and CDDs) for …
buildings in the future. Traditional characterization indices (ie, HDDs and CDDs) for …
Deep learning for seasonal precipitation prediction over China
Despite significant progress having been made in recent years, the forecast skill for
seasonal precipitation over China remains limited. In this study, a deep-learning-based …
seasonal precipitation over China remains limited. In this study, a deep-learning-based …
Climate downscaling for regional models with a neural network: A Hawaiian example
G Liu, B Powell, T Friedrich - Progress in Oceanography, 2023 - Elsevier
Global ocean/atmosphere circulation models (GCMs) allow us to better understand and
predict the behavior of the ocean and atmosphere at large spatial and temporal scales; …
predict the behavior of the ocean and atmosphere at large spatial and temporal scales; …
Future changes in precipitation extremes over China projected by a regional climate model ensemble
China has experienced frequent extreme precipitation events (ie, floods and droughts) in
recent years, which have resulted in significant economic losses and irrevocable damages …
recent years, which have resulted in significant economic losses and irrevocable damages …
Projected increases in intensity and frequency of rainfall extremes through a regional climate modeling approach
Global warming is changing the hydrological cycle in multiple ways such as increased
cloudiness, latent heat fluxes, and intense precipitation events. How extreme rainfall events …
cloudiness, latent heat fluxes, and intense precipitation events. How extreme rainfall events …
The effect of precipitation on hydropower generation capacity: a perspective of climate change
L Wei, L Jiheng, G Junhong, B Zhe, F Lingbo… - Frontiers in Earth …, 2020 - frontiersin.org
Hydropower, which is the most extensively used renewable energy, is sensitive to the
change of streamflow under the great impact of precipitation. According to the relationship …
change of streamflow under the great impact of precipitation. According to the relationship …
Ensemble projections of regional climatic changes over Ontario, Canada
In this study, high-resolution climate projections over Ontario, Canada, are developed
through an ensemble modeling approach to provide reliable and ready-to-use climate …
through an ensemble modeling approach to provide reliable and ready-to-use climate …
Assessing climate change impacts on human‐perceived temperature extremes and underlying uncertainties
It has been suggested that global warming impacts on human thermal comfort will cause an
increase in the heat stress and a decrease in the cold stress in the future. A recent study has …
increase in the heat stress and a decrease in the cold stress in the future. A recent study has …