Research graph
References from Urban electricity demand in response to price surges: Evidence from three U.S. cities. Local targets link to admitted publications; unresolved targets remain external evidence.
Residential consumption of gas and electricity in the US: the role of prices and income
10.1016/j.eneco.2011.01.015 · 2011 · External reference
Response of residential electricity demand to price: the effect of measurement error
10.1016/j.eneco.2011.03.009 · 2011 · External reference
The impact of increase in block pricing on electricity demand responsiveness: evidence from Ghana
10.1016/j.energy.2023.129858 · 2024 · External reference
Power hungry: how AI will drive energy demand
10.1016/j.eneco.2026.109278 · 2026 · External reference
Habit persistence and lags in consumer behaviour
10.2307/1907409 · 1952 · External reference
Unresolved reference
2024 · External reference
Unveiling hidden energy poverty using the energy equity gap
10.1038/s41467-022-30146-5 · 2022 · External reference
Unresolved reference
2023 · External reference
The growing energy footprint of artificial intelligence
10.1016/j.joule.2023.09.004 · 2023 · External reference
Climate change, mortality, and adaptation: evidence from annual fluctuations in weather in the US
10.1257/app.3.4.152 · 2011 · External reference
Household reduction of gas consumption in the energy crisis is not explained by individual economic incentives
10.1073/pnas.2411740121 · 2024 · External reference
Semiparametric estimates of the relation between weather and electricity sales
10.1080/01621459.1986.10478274 · 1986 · External reference
PRISM: an introduction
10.1016/0378-7788(86)90003-4 · 1986 · External reference
Degree days: heating, cooling, and growing
2010 · External reference
Burden of the global energy price crisis on households
10.1038/s41560-023-01209-8 · 2023 · External reference
What is an oil shock?
10.1016/s0304-4076(02)00207-5 · 2003 · External reference
Non-linearities in electricity demand and temperature: parametric versus non-parametric methods
10.1111/1468-0084.00054 · 1997 · External 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 · 2024 · External reference
Probabilistic electric load forecasting: a tutorial review
10.1016/j.ijforecast.2015.11.011 · 2016 · External reference
Adaptation to heat
10.2170/jjphysiol.45.921 · 1995 · External 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 · 2023 · External reference
Unresolved reference
2024 · External reference
The price elasticity of natural gas demand of small consumers in Germany during the energy crisis 2022
10.1007/s12053-024-10284-z · 2024 · External reference
The use of absolute-value terms in regression modeling of multi-piece force balances
2015 · External 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 · 2019 · External reference
A meta-analysis on the price elasticity of energy demand
10.1016/j.enpol.2017.01.002 · 2017 · External reference
Climatic and economic influences on residential electricity consumption
10.1016/s0196-8904(97)10008-5 · 1998 · External reference
Policy spillovers from climate actions to energy poverty: international evidence
2024 · External 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 · 2021 · External reference
Temperature sensitivity forecasting of electrical load
2010 · External reference
Real-time estimates of Swiss electricity savings using streamed smart meter data
10.1016/j.apenergy.2024.124537 · 2025 · External reference
Quantifying the effect of the principal–agent problem on U.S. residential energy use
2006 · External reference
Will energy-hungry AI create a baseload power demand boom?
10.1109/access.2024.3440217 · 2024 · External reference
Lags in economic behavior
10.2307/1909403 · 1972 · External reference
Transition to low-carbon economy: assessing cumulative impacts of individual behavioral changes
10.1016/j.enpol.2018.03.045 · 2018 · External reference
Summer daily peak load forecasting considering accumulation effect and abrupt change of temperature
2012 · External reference
Heating degree day data applied to residential heating energy consumption
10.1175/1520-0450(1980)019<0241:hdddat>2.0.co;2 · 1980 · External reference
What changes energy consumption? Prices and public pressures
10.1111/j.1756-2171.2008.00032.x · 2008 · External reference
Energy efficiency to reduce residential electricity and natural gas use under climate change
10.1038/ncomms14916 · 2017 · External reference
Heterogeneous climate change impacts on electricity demand in world cities circa mid-century
10.1038/s41598-022-07922-w · 2022 · External reference
Natural gas savings in Germany during the 2022 energy crisis
10.1038/s41560-023-01260-5 · 2023 · External reference
Sensitivity of electricity and natural gas consumption to climate in the USA-methodology and results for eight states
10.1016/s0360-5442(97)00034-0 · 1997 · External reference
Asymmetric price response of industrial electricity demand in India
10.1016/j.jup.2023.101552 · 2023 · External reference
Modeling the impacts of climate change on monthly commercial sector electricity consumption: a case of Suzhou, China
10.1002/ese3.1333 · 2023 · External reference
How far are we from the large-scale adoption of V2G technology?
2026 · External reference
Unresolved reference
2025 · External reference
Unresolved reference
2023 · External reference
The perceived temperature—a versatile index for the assessment of the human thermal environment. Part A: Scientific basics
10.1007/s00484-011-0409-6 · 2012 · External reference
Effects of time and memory factors on response in surveys
10.1080/01621459.1973.10481428 · 1973 · External reference
Modeling of monthly residential and commercial electricity consumption using nonlinear seasonal models—the case of Hong Kong
10.3390/en10070885 · 2017 · External reference
Statistical change detection of building energy consumption: applications to savings estimation
10.1016/j.enbuild.2018.12.020 · 2019 · External reference
A world that counts: mobilising the data revolution for sustainable development
2014 · External reference
Global trends in urban electricity demands for cooling and heating
10.1016/j.energy.2017.03.095 · 2017 · External reference
Quantifying the impact of residential space heating electrification on the Texas electric grid
10.1016/j.apenergy.2021.117113 · 2021 · External reference
Gene-SGAN: discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering
10.1038/s41467-023-44271-2 · 2024 · External reference
Impacts of climate change on energy systems in global and regional scenarios
10.1038/s41560-020-0664-z · 2020 · External reference
How do urban households in China respond to increasing block pricing in electricity? Evidence from a fuzzy regression discontinuity approach
10.1016/j.enpol.2017.02.025 · 2017 · External reference
Modeling the impacts of climate change on monthly commercial sector electricity consumption: a case of Suzhou, China
10.1002/ese3.1333 · ExternalCitation · doi-reference
The perceived temperature—a versatile index for the assessment of the human thermal environment. Part A: Scientific basics
10.1007/s00484-011-0409-6 · ExternalCitation · 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 · ExternalCitation · doi-reference
PRISM: an introduction
10.1016/0378-7788(86)90003-4 · ExternalCitation · doi-reference
Quantifying the impact of residential space heating electrification on the Texas electric grid
10.1016/j.apenergy.2021.117113 · ExternalCitation · doi-reference
Real-time estimates of Swiss electricity savings using streamed smart meter data
10.1016/j.apenergy.2024.124537 · ExternalCitation · doi-reference
Statistical change detection of building energy consumption: applications to savings estimation
10.1016/j.enbuild.2018.12.020 · ExternalCitation · 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 · ExternalCitation · doi-reference
Residential consumption of gas and electricity in the US: the role of prices and income
10.1016/j.eneco.2011.01.015 · ExternalCitation · doi-reference
Response of residential electricity demand to price: the effect of measurement error
10.1016/j.eneco.2011.03.009 · ExternalCitation · doi-reference
Power hungry: how AI will drive energy demand
10.1016/j.eneco.2026.109278 · ExternalCitation · doi-reference
Global trends in urban electricity demands for cooling and heating
10.1016/j.energy.2017.03.095 · ExternalCitation · doi-reference
The impact of increase in block pricing on electricity demand responsiveness: evidence from Ghana
10.1016/j.energy.2023.129858 · ExternalCitation · doi-reference
A meta-analysis on the price elasticity of energy demand
10.1016/j.enpol.2017.01.002 · ExternalCitation · doi-reference
How do urban households in China respond to increasing block pricing in electricity? Evidence from a fuzzy regression discontinuity approach
10.1016/j.enpol.2017.02.025 · ExternalCitation · doi-reference
Transition to low-carbon economy: assessing cumulative impacts of individual behavioral changes
10.1016/j.enpol.2018.03.045 · ExternalCitation · 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 · ExternalCitation · doi-reference
Probabilistic electric load forecasting: a tutorial review
10.1016/j.ijforecast.2015.11.011 · ExternalCitation · doi-reference
The growing energy footprint of artificial intelligence
10.1016/j.joule.2023.09.004 · ExternalCitation · doi-reference
Asymmetric price response of industrial electricity demand in India
10.1016/j.jup.2023.101552 · ExternalCitation · 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 · ExternalCitation · doi-reference
Climatic and economic influences on residential electricity consumption
10.1016/s0196-8904(97)10008-5 · ExternalCitation · doi-reference
What is an oil shock?
10.1016/s0304-4076(02)00207-5 · ExternalCitation · doi-reference
Sensitivity of electricity and natural gas consumption to climate in the USA-methodology and results for eight states
10.1016/s0360-5442(97)00034-0 · ExternalCitation · doi-reference
Energy efficiency to reduce residential electricity and natural gas use under climate change
10.1038/ncomms14916 · ExternalCitation · doi-reference
Unveiling hidden energy poverty using the energy equity gap
10.1038/s41467-022-30146-5 · ExternalCitation · doi-reference
Gene-SGAN: discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering
10.1038/s41467-023-44271-2 · ExternalCitation · doi-reference
Impacts of climate change on energy systems in global and regional scenarios
10.1038/s41560-020-0664-z · ExternalCitation · doi-reference
Burden of the global energy price crisis on households
10.1038/s41560-023-01209-8 · ExternalCitation · doi-reference
Natural gas savings in Germany during the 2022 energy crisis
10.1038/s41560-023-01260-5 · ExternalCitation · doi-reference
Heterogeneous climate change impacts on electricity demand in world cities circa mid-century
10.1038/s41598-022-07922-w · ExternalCitation · 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 · ExternalCitation · doi-reference
Household reduction of gas consumption in the energy crisis is not explained by individual economic incentives
10.1073/pnas.2411740121 · ExternalCitation · doi-reference
Effects of time and memory factors on response in surveys
10.1080/01621459.1973.10481428 · ExternalCitation · doi-reference
Semiparametric estimates of the relation between weather and electricity sales
10.1080/01621459.1986.10478274 · ExternalCitation · doi-reference
Will energy-hungry AI create a baseload power demand boom?
10.1109/access.2024.3440217 · ExternalCitation · doi-reference
Non-linearities in electricity demand and temperature: parametric versus non-parametric methods
10.1111/1468-0084.00054 · ExternalCitation · doi-reference
What changes energy consumption? Prices and public pressures
10.1111/j.1756-2171.2008.00032.x · ExternalCitation · doi-reference
Heating degree day data applied to residential heating energy consumption
10.1175/1520-0450(1980)019<0241:hdddat>2.0.co;2 · ExternalCitation · doi-reference
Climate change, mortality, and adaptation: evidence from annual fluctuations in weather in the US
10.1257/app.3.4.152 · ExternalCitation · doi-reference
Adaptation to heat
10.2170/jjphysiol.45.921 · ExternalCitation · doi-reference
Habit persistence and lags in consumer behaviour
10.2307/1907409 · ExternalCitation · doi-reference
Lags in economic behavior
10.2307/1909403 · ExternalCitation · doi-reference
Modeling of monthly residential and commercial electricity consumption using nonlinear seasonal models—the case of Hong Kong
10.3390/en10070885 · ExternalCitation · doi-reference
