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Incorporating technology buying behaviour into UK-based long term domestic stock energy models to provide improved policy analysis
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Document Date: 2013-03-28 16:47:13


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City

Manchester / Las Vegas / Toronto / Reading / Evanston / Dublin / Schlossplatz / New York / Washington / DC / Report / Hangzhou City / Rome / Watford / London / /

Company

Neural Networks / Princeton University Press / Elsevier Ltd. / Energy Saving Trust / National Renewable Energy Laboratory / ICAART 2011 / Kempener R (2009) Simulating Personal Carbon Trading / /

Country

Netherlands / Canada / United Kingdom / China / Lithuania / Germany / Italy / Turkey / Austria / United States / Singapore / Greece / Ireland / /

Currency

GBP / pence / /

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Event

Environmental Issue / /

Facility

DTI Conference Centre / The University of Reading / Northwestern University / Building Research / building ABMs / Dalhousie University / Environmental Change Institute / International Institute / University of Sussex / Leeds Metropolitan University / Social Research Institute / University of Oxford / Dwelling Stock / Individual dwelling / Passive House Institute / /

IndustryTerm

high-resolution energy demand model / energy demand / energy demand simulations / residential energy sector / end-use energy consumption / technology subsidy / space-cooling energy consumptions / energy efficiency measures / energy-consumption indicators / energy modelling / energy consumption using socio-economic / Percentage technology diffusion / delivered energy / local energy policies / average energy demand / energy sources / Household energy consumption / energy research / energy use / energy supply / technology buying behaviour / energy savings / energy usage / energy / technology buying decisions / The primary energy demand / energy component / greenhouse gas emissions / grid electricity supply / specific primary energy demand r120 kWh/m2 yr. / energy consumption / regulatory assessment tool / household energy-efficiency measures using sensitivity analysis / main such tools / Energy-saving potential / energy market using artificial / energy efficient equipment / electricity demand / secure carbon energy system / energy sector / energy management / energy modeling / greenhouse gas emission reduction measures / energy assessment / sector energy use / energy technology / energy models / oil crises / exploratory energy / energy demand model / renewable technologies / energy demand decreases / energy consumption district scale / energy security / long-term energy consumption prediction using artificial / bottom-up domestic energy modelling / individual green technology / energy uses / energy efficient new buildings / assessment tools / technology diffusion / energy generation / technology costs / household energy use / energy prices / renewable energy technologies / real world technology diffusion / technology arrangements / electricity use / energy load profile / energy efficiency improvements / energy forecast model / energy policies / energy price index / informative energy bill / electricity / physically-based energy / energy service / electricity generation / energy cost / technology buying process / increased technology adoption / green technology / agent-based domestic energy model / green technologies / day energy demand / energy rating / energy efficiency technologies / energy systems / residential end use energy consumption model / overall energy demand / Energy transition / energy use accounts / /

Organization

World Academy of Science / Engineering and Technology / Passive House Institute / Physical Sciences Research Council / Princeton University / International Institute for Applied Systems Analysis / Economic and Social Research Institute / European Parliament / School of Construction Management and Engineering / University of Oxford / University of Sussex / Artificial Intelligence / European Union / System Dynamics Society / Dalhousie University / Environmental Change Institute / Northwestern University / UK Government / University of Reading / Engineering and Physical Sciences Research Council / Agents and Artificial Intelligence / NetLogo /http /

Person

Timothy Lee / Schelling / /

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Position

significant driver in this sector / agent-based demand model for technology diffusion / model / whole economy / representative / seminal segregation model / Grubler-Gritsevski Model / Interim Report / researcher / high-resolution domestic building occupancy model for energy demand simulations / Corresponding author / Governor / energy and carbon dioxide emission model of the UK housing stock / model / /

ProgrammingLanguage

DC / NetLogo / /

ProvinceOrState

New York / Colorado / Sussex / Illinois / /

PublishedMedium

The American Economic Review / Journal of Environmental Psychology / /

Technology

energy technology / one technology / neural network / existing technology / individual green technology / renewable energy technologies / Incorporating technology / energy efficiency technologies / http / simulation / buying decision making Real technologies / /

URL

http /

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