Factorial optimization-driven input-output analysis for socio-economic and environmental effects of GHG emission reduction in electric power systems–A Canadian …

B Luo, G Huang, L Chen, L Liu, K Zhao - Renewable and Sustainable …, 2024 - Elsevier
Low-carbon transition of electric power system plays an important role in meeting national
greenhouse gas (GHG) emission reduction goals. Analyzing the effects of such transition on …

[HTML][HTML] Carbon emissions trading in ground transportation: Status quo, policy analysis, and outlook

H Peng, Y Sun, J Hao, C An, L Lyu - Transportation Research Part D …, 2024 - Elsevier
Ground transportation, which includes the road and rail sectors, is a major source of
greenhouse gas (GHG) emissions. An emissions trading system (ETS) is one of the …

International trade sanctions imposed due to the Russia-Ukraine war may cause unequal distribution of environmental and health impacts

G Huang, L Chen, B Luo - Communications Earth & Environment, 2024 - nature.com
The geopolitical conflict between Russia and Ukraine has escalated into international trade
sanctions targeting Russia's energy-related products. Here we combine a global general …

A factorial-analysis-based Bayesian neural network method for quantifying China's CO2 emissions under dual-carbon target

Z Wang, YP Li, GH Huang, JW Gong, YF Li… - Science of the Total …, 2024 - Elsevier
Energy-structure transformation and CO 2-emission reduction are becoming particularly
urgent for China and many other countries. Development of effective methods that are …

State-of-Charge Trajectory Planning for Low-Altitude Solar-Powered Convertible UAV by Driven Modes

X Cao, L Liu - Drones, 2024 - mdpi.com
The conversion efficiency of solar energy and the capacity of energy storage batteries limit
the development of low-altitude solar-powered aircrafts in the face of challenging …

[PDF][PDF] Več kot 30 let uporabe umetne inteligence na področju meteorologije v Sloveniji

MZ Božnar, P Mlakar, B Grašič - fgg-web.fgg.uni-lj.si
Predgovor 10. januarja 2024 je ECMWF izdal sporočilo za javnost o uporabi in načrtih za
uporabo strojnega učenja v procesu napovedovanja vremena:» Na zadnjih dveh zasedanjih …