1. How family structure type affects household energy consumption: A heterogeneous study based on Chinese household evidence. (2023). Hou, Lingchun ; Wang, Yuanping ; Chen, Juntao ; Dai, Cuilian ; Cai, Weiguang ; Hu, Lang.
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2. Building sector emission reduction assessment from a developing European economy: A bottom-up modelling approach. (2023). Kollugil, Esin Tetik ; Naner, Gulfem ; Harputlugil, Gulsu U ; Sarica, Kemal.
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3. Reviewing local and integrated energy system models: insights into flexibility and robustness challenges. (2022). McKenna, Russell ; Scheller, Fabian ; Weinand, Jann Michael ; Kachirayil, Febin.
   In: Applied Energy.
   RePEc:eee:appene:v:324:y:2022:i:c:s0306261922009643.

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4. FTT:Heat — A simulation model for technological change in the European residential heating sector. (2021). Pollitt, Hector ; Knobloch, Florian ; Mercure, Jean-Francois ; Lewney, Richard ; Chewpreecha, Unnada.
   In: Energy Policy.
   RePEc:eee:enepol:v:153:y:2021:i:c:s030142152100118x.

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5. Heat Decarbonisation Modelling Approaches in the UK: An Energy System Architecture Perspective. (2020). Pye, Steve ; Solano-Rodriguez, Baltazar ; Scamman, Daniel ; Lowe, Robert ; Barrett, Mark ; Cassarino, Tiziano Gallo ; Chiu, Lai Fong.
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6. Integrating Methods and Empirical Findings from Social and Behavioural Sciences into Energy System Models—Motivation and Possible Approaches. (2020). Kockel, Christina ; Bernath, Christiane ; Dobbins, Audrey ; Nolting, Lars ; Senkpiel, Charlotte ; Hofer, Claudia ; Hauser, Wolfgang ; Droste-Franke, Bert ; Wassermann, Sandra ; Globisch, Joachim ; Wille, Farina ; Fahl, Ulrich ; Steinbach, Jan.
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7. Developing a common approach for classifying building stock energy models. (2020). Delghust, M ; Laverge, J ; Nageli, C ; Fennell, P ; Sandberg, N ; Camarasa, C ; Ebrahimigharehbaghi, S ; Jakob, M ; Reyna, J L ; Federico, F ; Langevin, J ; Webster, J ; van Hove, M ; Mata, E.
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8. Using clustering algorithms to characterise uncertain long-term decarbonisation pathways. (2020). Keppo, Ilkka ; Pye, Steve ; Li, Pei-Hao.
   In: Applied Energy.
   RePEc:eee:appene:v:268:y:2020:i:c:s0306261920304591.

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9. Exploring cost-effective transitions to fossil independent transportation in the future energy system of Denmark. (2020). Ahlgren, Erik O ; Hagos, Dejene Assefa .
   In: Applied Energy.
   RePEc:eee:appene:v:261:y:2020:i:c:s0306261919320768.

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10. Energy Scenario Analysis for the Nordic Transport Sector: A Critical Review. (2019). Salvucci, Raffaele ; Petrovi, Stefan ; Balyk, Olexandr ; Uteng, Tanu Priya ; Wrke, Markus ; Karlsson, Kenneth.
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    RePEc:gam:jeners:v:12:y:2019:i:12:p:2232-:d:239018.

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11. An agent-based model for energy investment decisions in the residential sector. (2019). Hawkes, Adam ; Giarola, Sara ; Meng, Yiming ; Sachs, Julia .
    In: Energy.
    RePEc:eee:energy:v:172:y:2019:i:c:p:752-768.

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12. Impact and effectiveness of transport policy measures for a renewable-based energy system. (2019). Munster, Marie ; Karlsson, Kenneth ; Venturini, Giada.
    In: Energy Policy.
    RePEc:eee:enepol:v:133:y:2019:i:c:s0301421519304781.

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13. The role of modal shift in decarbonising the Scandinavian transport sector: Applying substitution elasticities in TIMES-Nordic. (2019). Karlsson, Kenneth ; Gargiulo, Maurizio ; Salvucci, Raffaele.
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14. Incorporating homeowners preferences of heating technologies in the UK TIMES model. (2018). Li, Pei-Hao ; Strachan, Neil ; Keppo, Ilkka.
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    RePEc:eee:energy:v:148:y:2018:i:c:p:716-727.

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15. Integration of behavioral effects from vehicle choice models into long-term energy systems optimization models. (2018). Ramea, Kalai ; Ogden, Joan M ; Yeh, Sonia ; Yang, Christopher ; Bunch, David S.
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16. Modelling transport modal shift in TIMES models through elasticities of substitution. (2018). Salvucci, Raffaele ; Karlsson, Kenneth ; Lehtila, Antti ; Gargiulo, Maurizio ; Tattini, Jacopo.
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17. Improving the representation of modal choice into bottom-up optimization energy system models – The MoCho-TIMES model. (2018). Mulholland, Eamonn ; Karlsson, Kenneth ; Yeh, Sonia ; Yang, Christopher ; Gargiulo, Maurizio ; Ramea, Kalai ; Tattini, Jacopo.
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18. Quantitative modelling of why and how homeowners decide to renovate energy efficiently. (2018). Wilson, C ; Chryssochoidis, G ; Pettifor, H.
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19. Coupling techno-economic energy models with behavioral approaches. (2017). Reveiu, Adriana ; Moresino, Francesco ; Kanala, Roman ; Fragniere, Emmanuel ; Smeureanu, Ion.
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20. Energy consumption and activity patterns: an analysis extended to total time and energy use for French households. (2017). Cayla, Jean-Michel ; Ghersi, Frederic ; de Lauretis, Simona.
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    RePEc:hal:journl:hal-01682301.

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21. The prospects of bioenergy in the future energy system of Inland Norway. (2017). Hagos, Dejene Assefa ; Bolkesjo, Torjus Folsland ; Gebremedhin, Alemayehu .
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22. Energy consumption and activity patterns: An analysis extended to total time and energy use for French households. (2017). de Lauretis, Simona ; Cayla, Jean-Michel ; Ghersi, Frederic.
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    RePEc:eee:appene:v:206:y:2017:i:c:p:634-648.

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23. Can the household sector reduce global warming mitigation costs? sensitivity to key parameters in a TIMES techno-economic energy model. (2017). Amor, Mourad ; Vaillancourt, Kathleen ; Astudillo, Miguel F ; Pineau, Pierre-Olivier.
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    RePEc:eee:appene:v:205:y:2017:i:c:p:486-498.

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24. Modelling to generate alternatives: A technique to explore uncertainty in energy-environment-economy models. (2017). Price, James ; Keppo, Ilkka.
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    RePEc:eee:appene:v:195:y:2017:i:c:p:356-369.

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25. Formalizing best practice for energy system optimization modelling. (2017). Yeh, Sonia ; Decarolis, Joseph ; Winning, Matthew ; Usher, Will ; Trutnevyte, Evelina ; Strachan, Neil ; Pye, Steve ; McDowall, Will ; Keppo, Ilkka ; Dodds, Paul ; Zeyringer, Marianne ; Daly, Hannah .
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    RePEc:eee:appene:v:194:y:2017:i:c:p:184-198.

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26. Analysing socioeconomic diversity and scaling effects on residential electricity load profiles in the context of low carbon technology uptake. (2016). McKenna, R ; Strachan, N ; Fichtner, W ; Merkel, E ; Hofmann, L.
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    RePEc:eee:enepol:v:97:y:2016:i:c:p:13-26.

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27. The impact of the EU car CO2 regulation on the energy system and the role of electro-mobility to achieve transport decarbonisation. (2016). Thiel, Christian ; Schmid, Erwin ; van Zyl, Arnold ; Schmidt, Johannes ; Simoes, Sofia ; Nijs, Wouter .
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    RePEc:eee:enepol:v:96:y:2016:i:c:p:153-166.

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28. Modelling sustainable urban travel in a whole systems energy model. (2015). Pye, Steve ; Daly, Hannah .
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21. Will subsidies drive electric vehicle adoption? Measuring consumer preferences in the U.S. and China. (2015). Feit, Elea McDonnell ; Liu, Yimin ; Helveston, John Paul ; Michalek, Jeremy J. ; Klampfl, Erica ; Fuchs, Erica.
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22. Integrating household behavior and heterogeneity into the TIMES-Households model. (2015). Cayla, Jean-Michel ; Maizi, Nadia.
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23. The diffusion of electric vehicles: An agent-based microsimulation. (2014). McCoy, Daire ; Lyons, Sean.
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24. Consumers’ willingness to pay for alternative fuel vehicles: A comparative discrete choice analysis between the US and Japan. (2014). Tanaka, Makoto ; Murakami, Kayo ; Ida, Takanori ; Friedman, Lee .
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25. The dynamics of technology diffusion and the impacts of climate policy instruments in the decarbonisation of the global electricity sector. (2014). Mercure, Jean-Francois ; Foley, A. M. ; Chewpreecha, U. ; Salas, P. ; Holden, P. B. ; Edwards, N. R. ; Mercure, J.-F., ; Pollitt, H..
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26. Solar Community Organizations and active peer effects in the adoption of residential PV. (2014). Dawes, Colleen ; Rai, Varun ; Noll, Daniel .
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27. Willingness to pay for vehicle-to-grid (V2G) electric vehicles and their contract terms. (2014). Parsons, George ; Kempton, Willett ; Hidrue, Michael K. ; Gardner, Meryl P..
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28. Valuing biodiversity enhancement in New Zealands planted forests: Socioeconomic and spatial determinants of willingness-to-pay. (2014). Yao, Richard ; Scarpa, Riccardo ; Rose, John ; Harrison, Duncan R. ; Barnard, Tim D. ; Palma, João H. N., ; Turner, James A..
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29. SP surveys for electric and alternative fuel vehicles: are we doing the right thing?. (2013). Massiani, Jérôme.
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30. The use of Stated Preferences to forecast alternative fuel vehicles market diffusion: Comparisons with other methods and proposal for a Synthetic Utility Function. (2013). Massiani, Jérôme.
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31. Willingness-to-Pay for Alternative Fuel Vehicle Characteristics: A Stated Choice Study for Germany. (2013). Madlener, Reinhard ; Hackbarth, Andre .
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32. Consumer valuation of changes in driving range: A meta-analysis. (2013). van Ommeren, Jos ; Dimitropoulos, Alexandros ; Rietveld, Piet.
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33. Analysis on the feedback effect for the diffusion of innovative technologies focusing on the green car. (2013). Lee, DukHee ; Kim, Jongwook ; Park, Sang Yong .
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34. Hybrid, plug-in hybrid, or electric—What do car buyers want?. (2013). Axsen, Jonn ; Kurani, Kenneth S..
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35. Social influence and consumer preference formation for pro-environmental technology: The case of a U.K. workplace electric-vehicle study. (2013). Orlebar, Caroline ; Skippon, Stephen ; Axsen, Jonn.
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36. Dynamic hypothetical bias in discrete choice experiments: Evidence from measuring the impact of corporate social responsibility on consumers demand. (2013). Araña, Jorge ; Leon, Carmelo J. ; Araa, Jorge E..
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37. German car buyers willingness to pay to reduce CO2 emissions. (2012). Achtnicht, Martin.
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38. Impact of service station networks on purchase decisions of alternative-fuel vehicles. (2012). Achtnicht, Martin ; Hermeling, Claudia ; Buhler, Georg .
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39. German car buyers’ willingness to pay to reduce CO 2 emissions. (2012). Achtnicht, Martin.
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40. Keys to Smart Home Diffusion: A Stated Preference Analysis of Smart Meters, Photovoltaic Generation, and Electric/Hybrid Vehicles. (2012). Tanaka, Makoto ; Murakami, Kayo ; Ida, Takanori.
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41. Simulating Demand for Electrical Vehicles using Revealed Preference Data. (2012). Tol, Richard ; Mariuzzo, Franco ; Lyons, Sean ; Driscoll, aine ; Tol, Richard S. J., ; Tol, Richard S. J., .
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42. Individual characteristics and stated preferences for alternative energy sources and propulsion technologies in vehicles: A discrete choice analysis for Germany. (2012). Ziegler, Andreas.
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43. The economics of visual disamenity reductions of offshore wind farms—Review and suggestions from an emerging field. (2012). Lutzeyer, Sanja ; Ladenburg, Jacob.
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44. Exploring the potential for energy conservation in French households through hybrid modeling. (2012). Quirion, Philippe ; Guivarch, Céline ; Giraudet, Louis-Gaëtan.
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45. Accounting for Nonmarket Impacts in a Benefit-Cost Analysis of Underground Coal Mining in New South Wales, Australia. (2012). Kragt, Marit ; Gillespie, Rob .
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46. Consumer Valuation of Driving Range: A Meta-Analysis. (2011). van Ommeren, Jos ; Dimitropoulos, Alexandros ; Rietveld, Piet.
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47. Consumer Preferences for Alternative Fuel Vehicles: A Discrete Choice Analysis. (2011). Madlener, Reinhard ; Hackbarth, Andre .
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48. Simulating the impact of policy, energy prices and technological progress on the passenger car fleet in Austria--A model based analysis 2010-2050. (2011). Muller, Andreas ; Kloess, Maximilian .
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49. Individual Characteristics and Stated Preferences for Alternative Energy Sources and Propulsion Technologies in Vehicles: A Discrete Choice Analysis. (2010). Ziegler, Andreas.
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50. Interpersonal Influence within Car Buyers’ Social Networks: Five Perspectives on Plug-in Hybrid Electric Vehicle Demonstration Participants. (2009). Axsen, Jonn ; Kurani, Kenneth S..
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