Beyond the merit order effect: Impact of the rapid expansion of renewable energy on electricity market price

M Shimomura, AR Keeley, K Matsumoto… - … and Sustainable Energy …, 2024 - Elsevier
A drop in the average electricity market price owing to renewable energy with low marginal
costs has been identified and explored as merit order effect. However, diffusion of variable …

Machine learning-based models with high accuracy and broad applicability domains for screening PMT/vPvM substances

Q Zhao, Y Yu, Y Gao, L Shen, S Cui… - Environmental …, 2022 - ACS Publications
Persistent, mobile, and toxic (PMT) substances and very persistent and very mobile (vPvM)
substances can transport over long distances from various sources, increasing the public …

Heatstroke-induced coagulopathy: Biomarkers, mechanistic insights, and patient management

T Iba, JM Connors, M Levi, JH Levy - EClinicalMedicine, 2022 - thelancet.com
Heatstroke is increasingly becoming a significant concern due to global warming. Systemic
inflammation and coagulopathy are the two major factors that provoke life-threatening organ …

A novel machine learning method for evaluating the impact of emission sources on ozone formation

Y Cheng, XF Huang, Y Peng, MX Tang, B Zhu… - Environmental …, 2023 - Elsevier
Ambient ozone air pollution is one of the most important environmental challenges in China
today, and it is particularly significant to identify pollution sources and formulate control …

Machine and deep learning for modelling heat-health relationships

J Boudreault, C Campagna, F Chebana - Science of The Total Environment, 2023 - Elsevier
Extreme heat events pose a significant threat to population health that is amplified by climate
change. Traditionally, statistical models have been used to model heat-health relationships …

[HTML][HTML] Regional and temporal variations in the impacts of future climate change on Japanese electricity demand: Simultaneous interactions among multiple factors …

Y Hiruta, NN Ishizaki, S Ashina, K Takahashi - Energy Conversion and …, 2022 - Elsevier
Assessing the impacts of future climate change on electricity demand is critical to managing
electricity systems efficiently and identifying reliable adaptation measures to mitigate the …

Machine learning analysis and risk prediction of weather-sensitive mortality related to cardiovascular disease during summer in Tokyo, Japan

Y Ohashi, T Ihara, K Oka, Y Takane, Y Kikegawa - Scientific Reports, 2023 - nature.com
Climate-sensitive diseases developing from heat or cold stress threaten human health.
Therefore, the future health risk induced by climate change and the aging of society need to …

Baseline scenarios of heat-related ambulance transportations under climate change in Tokyo, Japan

M Fujimoto, H Nishiura - PeerJ, 2022 - peerj.com
Background Predictive scenarios of heatstroke over the long-term future have yet to be
formulated. The purpose of the present study was to generate baseline scenarios of heat …

The spatiotemporal trend of human brucellosis in China and driving factors using interpretability analysis

X Wen, Y Wang, Z Shao - Scientific Reports, 2024 - nature.com
Human brucellosis has reemerged in China, with a distinct change in its geographical
distribution. The incidence of human brucellosis has significantly risen in inland regions of …

Process optimization of line patterns in extreme ultraviolet lithography using machine learning and a simulated annealing algorithm

R Zhao, Z Hu, X Wang, P Tao, Y Wang, T Liu, Y Wei… - Applied Optics, 2023 - opg.optica.org
Resolution, line edge/width roughness, and sensitivity (RLS) are critical indicators for
evaluating the imaging performance of resists. As the technology node gradually shrinks …