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Determinants of spatio-temporal patterns of energy technology adoption: An agent-based modeling approach

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Cited by:

  1. Bourceret, Amélie & Amblard, Laurence & Mathias, Jean-Denis, 2022. "Adapting the governance of social–ecological systems to behavioural dynamics: An agent-based model for water quality management using the theory of planned behaviour," Ecological Economics, Elsevier, vol. 194(C).
  2. Miu, Luciana & Hawkes, Adam D., 2020. "Private landlords and energy efficiency: Evidence for policymakers from a large-scale study in the United Kingdom," Energy Policy, Elsevier, vol. 142(C).
  3. Alderete Peralta, Ali & Balta-Ozkan, Nazmiye & Longhurst, Philip, 2022. "Spatio-temporal modelling of solar photovoltaic adoption: An integrated neural networks and agent-based modelling approach," Applied Energy, Elsevier, vol. 305(C).
  4. Hai Hu & Andi Cao & Si Chen & Houjian Li, 2022. "Effects of Risk Perception of Pests and Diseases on Tea Famers’ Green Control Techniques Adoption," IJERPH, MDPI, vol. 19(14), pages 1-15, July.
  5. Sanghamitra Mukherjee & Séin Healy & Tensay Meles & L. (Lisa B.) Ryan & Robert Mooney & Lindsay Sharpe & Paul Hayes, 2020. "Renewable Energy Technology Uptake: Public Preferences and Policy Design in Early Adoption," Working Papers 202004, School of Economics, University College Dublin.
  6. Shi, Yingying & Wei, Zixiang & Shahbaz, Muhammad & Zeng, Yongchao, 2021. "Exploring the dynamics of low-carbon technology diffusion among enterprises: An evolutionary game model on a two-level heterogeneous social network," Energy Economics, Elsevier, vol. 101(C).
  7. White, Lee V., 2019. "Increasing residential solar installations in California: Have local permitting processes historically driven differences between cities?," Energy Policy, Elsevier, vol. 124(C), pages 46-53.
  8. Sommerfeldt, Nelson & Madani, Hatef, 2017. "Revisiting the techno-economic analysis process for building-mounted, grid-connected solar photovoltaic systems: Part one – Review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 1379-1393.
  9. Nurwidiana Nurwidiana & Bertha Maya Sopha & Adhika Widyaparaga, 2022. "Simulating Socio-Technical Transitions of Photovoltaics Using Empirically Based Hybrid Simulation-Optimization Approach," Sustainability, MDPI, vol. 14(9), pages 1-25, April.
  10. Shi, Y.Y. & Wei, Z.X. & Shahbaz, M., 2023. "Analyzing the co-evolutionary dynamics of consumers’ attitudes and green energy technologies based on a triple-helix model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
  11. Lukanov, Boris R. & Krieger, Elena M., 2019. "Distributed solar and environmental justice: Exploring the demographic and socio-economic trends of residential PV adoption in California," Energy Policy, Elsevier, vol. 134(C).
  12. Nabernegg, Stefan & Bednar-Friedl, Birgit & Muñoz, Pablo & Titz, Michaela & Vogel, Johanna, 2019. "National Policies for Global Emission Reductions: Effectiveness of Carbon Emission Reductions in International Supply Chains," Ecological Economics, Elsevier, vol. 158(C), pages 146-157.
  13. Brodnicke, Linda & Gabrielli, Paolo & Sansavini, Giovanni, 2023. "Impact of policies on residential multi-energy systems for consumers and prosumers," Applied Energy, Elsevier, vol. 344(C).
  14. Shuai Wang & Yao Li & Junjun Jia, 2022. "How to promote sustainable adoption of residential distributed photovoltaic generation in China? An employment of incentive and punitive policies," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 27(2), pages 1-26, February.
  15. Alipour, Mohammad & Taghikhah, Firouzeh & Irannezhad, Elnaz & Stewart, Rodney A. & Sahin, Oz, 2022. "How the decision to accept or reject PV affects the behaviour of residential battery system adopters," Applied Energy, Elsevier, vol. 318(C).
  16. Keck, Felix & Lenzen, Manfred, 2021. "Drivers and benefits of shared demand-side battery storage – an Australian case study," Energy Policy, Elsevier, vol. 149(C).
  17. Rai, Varun & Reeves, D. Cale & Margolis, Robert, 2016. "Overcoming barriers and uncertainties in the adoption of residential solar PV," Renewable Energy, Elsevier, vol. 89(C), pages 498-505.
  18. Mittal, Anuj & Krejci, Caroline C. & Dorneich, Michael C., 2019. "An agent-based approach to designing residential renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 1008-1020.
  19. Moncada, J.A. & Verstegen, J.A. & Posada, J.A. & Junginger, M. & Lukszo, Z. & Faaij, A. & Weijnen, M., 2018. "Exploring policy options to spur the expansion of ethanol production and consumption in Brazil: An agent-based modeling approach," Energy Policy, Elsevier, vol. 123(C), pages 619-641.
  20. Ramshani, Mohammad & Li, Xueping & Khojandi, Anahita & Omitaomu, Olufemi, 2020. "An agent-based approach to study the diffusion rate and the effect of policies on joint placement of photovoltaic panels and green roof under climate change uncertainty," Applied Energy, Elsevier, vol. 261(C).
  21. Moncada, J.A. & Tao, Z. & Valkering, P. & Meinke-Hubeny, F. & Delarue, E., 2021. "Influence of distribution tariff structures and peer effects on the adoption of distributed energy resources," Applied Energy, Elsevier, vol. 298(C).
  22. Alipour, M. & Salim, H. & Stewart, Rodney A. & Sahin, Oz, 2020. "Predictors, taxonomy of predictors, and correlations of predictors with the decision behaviour of residential solar photovoltaics adoption: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 123(C).
  23. Dong, Changgui & Sigrin, Benjamin & Brinkman, Gregory, 2017. "Forecasting residential solar photovoltaic deployment in California," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 251-265.
  24. Yongchao Zeng & Peiwu Dong & Yingying Shi & Yang Li, 2018. "On the Disruptive Innovation Strategy of Renewable Energy Technology Diffusion: An Agent-Based Model," Energies, MDPI, vol. 11(11), pages 1-21, November.
  25. Lisa Hanna Broska & Stefan Vögele & Hawal Shamon & Inga Wittenberg, 2022. "On the Future(s) of Energy Communities in the German Energy Transition: A Derivation of Transformation Pathways," Sustainability, MDPI, vol. 14(6), pages 1-31, March.
  26. Heymann, Fabian & Miranda, Vladimiro & Soares, Filipe Joel & Duenas, Pablo & Perez Arriaga, Ignacio & Prata, Ricardo, 2019. "Orchestrating incentive designs to reduce adverse system-level effects of large-scale EV/PV adoption – The case of Portugal," Applied Energy, Elsevier, vol. 256(C).
  27. Costa, Fabrício Rodrigues & Ribeiro, Carlos Antonio Alvares Soares & Marcatti, Gustavo Eduardo & Lorenzon, Alexandre Simões & Teixeira, Thaisa Ribeiro & Domingues, Getulio Fonseca & Castro, Nero Lemos, 2020. "GIS applied to location of bioenergy plants in tropical agricultural areas," Renewable Energy, Elsevier, vol. 153(C), pages 911-918.
  28. Gordon, Joel A. & Balta-Ozkan, Nazmiye & Nabavi, Seyed Ali, 2022. "Beyond the triangle of renewable energy acceptance: The five dimensions of domestic hydrogen acceptance," Applied Energy, Elsevier, vol. 324(C).
  29. Wang, Ziyi & Wennersten, Ronald & Sun, Qie, 2017. "Outline of principles for building scenarios – Transition toward more sustainable energy systems," Applied Energy, Elsevier, vol. 185(P2), pages 1890-1898.
  30. Lee, Minhyun & Hong, Taehoon & Jeong, Jaewook & Jeong, Kwangbok, 2018. "Development of a rooftop solar photovoltaic rating system considering the technical and economic suitability criteria at the building level," Energy, Elsevier, vol. 160(C), pages 213-224.
  31. Bourceret, Amélie & Amblard, Laurence & Mathias, Jean-Denis, 2023. "How do farmers’ environmental preferences influence the efficiency of information instruments for water quality management? Evidence from a social-ecological agent-based model," Ecological Modelling, Elsevier, vol. 478(C).
  32. Chappin, Emile J.L. & Schleich, Joachim & Guetlein, Marie-Charlotte & Faure, Corinne & Bouwmans, Ivo, 2022. "Linking of a multi-country discrete choice experiment and an agent-based model to simulate the diffusion of smart thermostats," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
  33. Noeldeke, Beatrice & Winter, Etti & Ntawuhiganayo, Elisée Bahati, 2022. "Representing human decision-making in agent-based simulation models: Agroforestry adoption in rural Rwanda," Ecological Economics, Elsevier, vol. 200(C).
  34. Elahi, Ehsan & Khalid, Zainab & Zhang, Zhixin, 2022. "Understanding farmers’ intention and willingness to install renewable energy technology: A solution to reduce the environmental emissions of agriculture," Applied Energy, Elsevier, vol. 309(C).
  35. Lin, Boqiang & Kaewkhunok, Suppawit, 2021. "The role of socio-Culture in the solar power adoption: The inability to reach government policies of marginalized groups," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
  36. Moncada, J.A. & Lukszo, Z. & Junginger, M. & Faaij, A. & Weijnen, M., 2017. "A conceptual framework for the analysis of the effect of institutions on biofuel supply chains," Applied Energy, Elsevier, vol. 185(P1), pages 895-915.
  37. al Irsyad, Muhammad Indra & Halog, Anthony & Nepal, Rabindra, 2019. "Renewable energy projections for climate change mitigation: An analysis of uncertainty and errors," Renewable Energy, Elsevier, vol. 130(C), pages 536-546.
  38. Lee, Minhyun & Hong, Taehoon & Jeong, Kwangbok & Kim, Jimin, 2018. "A bottom-up approach for estimating the economic potential of the rooftop solar photovoltaic system considering the spatial and temporal diversity," Applied Energy, Elsevier, vol. 232(C), pages 640-656.
  39. Sanghamitra Mukherjee & Tensay Meles & L. (Lisa B.) Ryan & Séin Healy & Robert Mooney & Lindsay Sharpe & Paul Hayes, 2020. "Attitudes to Renewable Energy Technologies: Driving Change in Early Adopter Markets," Working Papers 202026, School of Economics, University College Dublin.
  40. Jacksohn, Anke & Grösche, Peter & Rehdanz, Katrin & Schröder, Carsten, 2019. "Drivers of renewable technology adoption in the household sector," Energy Economics, Elsevier, vol. 81(C), pages 216-226.
  41. Li, Pei-Hao & Barazza, Elsa & Strachan, Neil, 2022. "The influences of non-optimal investments on the scale-up of smart local energy systems in the UK electricity market," Energy Policy, Elsevier, vol. 170(C).
  42. Balta-Ozkan, Nazmiye & Yildirim, Julide & Connor, Peter M. & Truckell, Ian & Hart, Phil, 2021. "Energy transition at local level: Analyzing the role of peer effects and socio-economic factors on UK solar photovoltaic deployment," Energy Policy, Elsevier, vol. 148(PB).
  43. Bondio, Steven & Shahnazari, Mahdi & McHugh, Adam, 2018. "The technology of the middle class: Understanding the fulfilment of adoption intentions in Queensland's rapid uptake residential solar photovoltaics market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 642-651.
  44. Busch, Jonathan & Roelich, Katy & Bale, Catherine S.E. & Knoeri, Christof, 2017. "Scaling up local energy infrastructure; An agent-based model of the emergence of district heating networks," Energy Policy, Elsevier, vol. 100(C), pages 170-180.
  45. Dong, Changgui & Sigrin, Benjamin, 2019. "Using willingness to pay to forecast the adoption of solar photovoltaics: A “parameterization + calibration” approach," Energy Policy, Elsevier, vol. 129(C), pages 100-110.
  46. William Orjuela-Garzon & Santiago Quintero & Diana P. Giraldo & Laura Lotero & César Nieto-Londoño, 2021. "A Theoretical Framework for Analysing Technology Transfer Processes Using Agent-Based Modelling: A Case Study on Massive Technology Adoption (AMTEC) Program on Rice Production," Sustainability, MDPI, vol. 13(20), pages 1-23, October.
  47. Felipe Moraes do Nascimento & Julio Cezar Mairesse Siluk & Fernando de Souza Savian & Taís Bisognin Garlet & José Renes Pinheiro & Carlos Ramos, 2020. "Factors for Measuring Photovoltaic Adoption from the Perspective of Operators," Sustainability, MDPI, vol. 12(8), pages 1-29, April.
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