Beyond the merit order effect: Impact of the rapid expansion of renewable energy on electricity market price
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 …
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 …
substances can transport over long distances from various sources, increasing the public …
Heatstroke-induced coagulopathy: Biomarkers, mechanistic insights, and patient management
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 …
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 …
today, and it is particularly significant to identify pollution sources and formulate control …
Machine and deep learning for modelling heat-health relationships
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 …
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 …
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
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 …
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 …
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 …
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 …
evaluating the imaging performance of resists. As the technology node gradually shrinks …