Abstract
Linye Song, Pingyu Fan, Shufan Yu, Linyan Li, Pengcheng You, Yulun Zhou
Abstract
Authors
Institutions
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10.1038/s41598-022-07922-w · doi-reference
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10.1038/ncomms14916 · doi-reference
What changes energy consumption? Prices and public pressures
10.1111/j.1756-2171.2008.00032.x · doi-reference
Heating degree day data applied to residential heating energy consumption
10.1175/1520-0450(1980)019<0241:hdddat>2.0.co;2 · doi-reference
Transition to low-carbon economy: assessing cumulative impacts of individual behavioral changes
10.1016/j.enpol.2018.03.045 · doi-reference
Lags in economic behavior
10.2307/1909403 · doi-reference
Will energy-hungry AI create a baseload power demand boom?
10.1109/access.2024.3440217 · doi-reference
Real-time estimates of Swiss electricity savings using streamed smart meter data
10.1016/j.apenergy.2024.124537 · doi-reference
Impacts of COVID-19 related stay-at-home restrictions on residential electricity use and implications for future grid stability
10.1016/j.enbuild.2021.111330 · doi-reference
Climatic and economic influences on residential electricity consumption
10.1016/s0196-8904(97)10008-5 · doi-reference
A meta-analysis on the price elasticity of energy demand
10.1016/j.enpol.2017.01.002 · doi-reference
Estimating demand response in an extreme block pricing environment: evidence from Korea’s electricity pricing system, 2005–2014
10.1016/j.enpol.2019.06.065 · doi-reference
The price elasticity of natural gas demand of small consumers in Germany during the energy crisis 2022
10.1007/s12053-024-10284-z · doi-reference
Self-reported energy use behaviour changed significantly during the cost-of-living crisis in winter 2022/23: insights from cross-sectional and longitudinal surveys in Great Britain
10.1038/s41598-023-48181-7 · doi-reference
Adaptation to heat
10.2170/jjphysiol.45.921 · doi-reference
Probabilistic electric load forecasting: a tutorial review
10.1016/j.ijforecast.2015.11.011 · doi-reference
Residential demand response and dynamic electricity contracts with hourly prices: a study of Norwegian households during the 2021/22 energy crisis
10.1016/j.segy.2023.100126 · doi-reference
Non-linearities in electricity demand and temperature: parametric versus non-parametric methods
10.1111/1468-0084.00054 · doi-reference
What is an oil shock?
10.1016/s0304-4076(02)00207-5 · doi-reference
Burden of the global energy price crisis on households
10.1038/s41560-023-01209-8 · doi-reference
PRISM: an introduction
10.1016/0378-7788(86)90003-4 · doi-reference
Semiparametric estimates of the relation between weather and electricity sales
10.1080/01621459.1986.10478274 · doi-reference
Household reduction of gas consumption in the energy crisis is not explained by individual economic incentives
10.1073/pnas.2411740121 · doi-reference
Climate change, mortality, and adaptation: evidence from annual fluctuations in weather in the US
10.1257/app.3.4.152 · doi-reference
The growing energy footprint of artificial intelligence
10.1016/j.joule.2023.09.004 · doi-reference
Unveiling hidden energy poverty using the energy equity gap
10.1038/s41467-022-30146-5 · doi-reference
The impact of increase in block pricing on electricity demand responsiveness: evidence from Ghana
10.1016/j.energy.2023.129858 · doi-reference