Co-pyrolysis of medical protective clothing and oil palm wastes for biofuel: Experimental, techno-economic, and environmental analyses [0.03%]
医用防护服与油棕榈废弃物共热解制备生物燃料：实验、技术经济和环境分析
Guangcan Su,Nurin Wahidah Mohd Zulkifli,Hwai Chyuan Ong et al.
Guangcan Su et al.
The ongoing global pandemic of COVID-19 has devastatingly influenced the environment, society, and economy around the world. Numerous medical resources are used to inhibit the infectious transmission of the virus, resulting in massive medic...
Sectoral analysis of electricity consumption during the COVID-19 pandemic: Evidence for unregulated and regulated markets in Colombia [0.03%]
COVID-19大流行期间的用电量部门分析：哥伦比亚无管制和有管制市场中的证据
John Garcia-Rendon,Felipe Rey Londoño,Luis José Arango Restrepo et al.
John Garcia-Rendon et al.
We conduct a sectoral analysis of electricity consumption during the Coronavirus disease 2019 (COVID-19) pandemic for the primary sectors that make up Colombia's unregulated and regulated markets. Applying a model of seemingly unrelated reg...
Forecasting seasonal variations in electricity consumption and electricity usage efficiency of industrial sectors using a grey modeling approach [0.03%]
使用灰色建模方法预测工业部门电力消耗及用电效率的季节性变化
Hai-Bao Chen,Ling-Ling Pei,Yu-Feng Zhao
Hai-Bao Chen
The aim of this research is to forecast seasonal fluctuations in electricity consumption, and electricity usage efficiency of industrial sectors and identify the impacts of the novel coronavirus disease 2019 (COVID-19). For this purpose, a ...
Cheng Tung Chong,Yee Van Fan,Chew Tin Lee et al.
Cheng Tung Chong et al.
This review covers the recent advancements in selected emerging energy sectors, emphasising carbon emission neutrality and energy sustainability in the post-COVID-19 era. It benefited from the latest development reported in the Virtual Spec...
Multidimensional risk spillovers among crude oil, the US and Chinese stock markets: Evidence during the COVID-19 epidemic [0.03%]
原油、美国和中国股市的风险溢出效应研究——来自新冠肺炎疫情的证据
Pengfei Zhu,Yong Tang,Yu Wei et al.
Pengfei Zhu et al.
This paper investigates the multidimensional risk spillovers among crude oil, the US and Chinese stock markets during the COVID-19 epidemic through a GARCHSK-Mixed Copula-CoVaR-Network method. Firstly, we find that during the COVID-19 perio...
Impact of COVID-19 pandemic on oil consumption in the United States: A new estimation approach [0.03%]
COVID-19大流行对美国石油消费的影响：一个新的估计方法
Qiang Wang,Shuyu Li,Min Zhang et al.
Qiang Wang et al.
The COVID-19 pandemic broke the balance of oil supply and demand. Meeting these oil market challenges induced by the pandemic required a more accurate assessment of the impact of the pandemic on oil consumption. The existing measurement of ...
Examining the dynamic effect of COVID-19 pandemic on dwindling oil prices using structural vector autoregressive model [0.03%]
使用结构向量自回归模型分析COVID-19疫情对油价下跌的动态影响
Abdulkabir N Adedeji,Funmilola F Ahmed,Shehu U Adam
Abdulkabir N Adedeji
Emergence of COVID-19 pandemic in China hit oil prices most, traded at a negative for the first time ever in the international oil market. In this paper, we examine the dynamic effect on four major oil prices of COVID-19 with reference to C...
How do government subsidies promote new energy vehicle diffusion in the complex network context? A three-stage evolutionary game model [0.03%]
政府补贴在复杂网络环境下如何促进新能源汽车扩散？一个三阶段演化博弈模型
Dan Zhao,Shou-Feng Ji,He-Ping Wang et al.
Dan Zhao et al.
In order to cope with the impact of current coronavirus disease 2019 (COVID-19), the continued extension of financial subsidy period for new energy vehicles at the national level is a strong measure to support the sustainable development of...
A multi-objective formulation of improving flexibility in the operation of electric power systems: Application to mitigation measures during the coronavirus pandemic [0.03%]
在电力系统运行中提高灵活性的多目标制定：应用于冠状病毒大流行期间的缓解措施
Gonzalo E Alvarez
Gonzalo E Alvarez
The coronavirus pandemic has infected more than 23 million people worldwide by August 2020 along with more than 800,000 deaths. To face this pandemic, a joint effort among different areas has been required. In this context, the correct supp...
Impact of Covid-19 pandemic on electricity demand in the UK based on multivariate time series forecasting with Bidirectional Long Short Term Memory [0.03%]
基于双向长短-term记忆的多变量时间序列预测分析Covid-19疫情对英国电力需求的影响
Xiaolei Liu,Zi Lin
Xiaolei Liu
Due to lockdown measures taken by the UK government during the Coronavirus disease 2019 pandemic, the national electricity demand profile presented a notably different performance. The Coronavirus disease 2019 crisis has provided a unique o...