Future assessment of the impact of the COVID-19 pandemic on the electricity market based on a stochastic socioeconomic model.
第一作者:
Vinicius B F,Costa
第一单位:
Institute of Electrical Systems and Energy, Federal University of Itajuba, Itajuba, MG 37500-903, Brazil.
作者:
关键词
AEGs, autonomous energy gridsANEEL, National Electricity Agency (Brazilian regulatory agency)CGE, computable general equilibriumCNN, convolutional neural networkCOVID-19 pandemicDG, distributed generationECA, economic consumer added (consumers' surplus)ESS, energy storage systemsEVA, economic value added (regulated power distribution company's surplus)EWA, economic wealth added (socioeconomic welfare)FEE, financial economical equilibriumGDP, gross domestic productHVAC, heating, ventilation, and air-conditioningIOT, internet of thingsLEAP, Low Emissions Analysis PlatformML, machine learningMR$, Brazilian currency multiplied by 106PM, particulate matterPublic policiesRegulated electricity marketRisk assessmentStochastic socioeconomic modelTAROT, optimized tariffVaR, value at risk
DOI
10.1016/j.apenergy.2022.118848
PMID
35250149
发布时间
2024-09-09
- 浏览0
Applied energy
118848页
相似文献
- 中文期刊
- 外文期刊
- 学位论文
- 会议论文


换一批



