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Smart meter adoption and deployment strategy for residential buildings in Indonesia

Citations

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Cited by:

  1. Tsvetanov, Tsvetan, 2022. "The deterring effect of monetary costs on smart meter adoption," Applied Energy, Elsevier, vol. 318(C).
  2. Lach, Łukasz & Kopeć, Sławomir & Heller, Krzysztof & Zyśk, Janusz & Adamiec, Ewa & Kisiel-Dorohinicki, Marek & Brzoza-Zajęcka, Ada & Gaska, Krzysztof, 2025. "Input-output model for forecasting economic and environmental effects of smart meters deployment in Poland," Energy, Elsevier, vol. 328(C).
  3. Christine Milchram & Geerten Van de Kaa & Neelke Doorn & Rolf Künneke, 2018. "Moral Values as Factors for Social Acceptance of Smart Grid Technologies," Sustainability, MDPI, vol. 10(8), pages 1-23, August.
  4. Sylwia Słupik & Joanna Kos-Łabędowicz & Joanna Trzęsiok, 2021. "How to Encourage Energy Savings Behaviours? The Most Effective Incentives from the Perspective of European Consumers," Energies, MDPI, vol. 14(23), pages 1-25, November.
  5. Dranka, Géremi Gilson & Ferreira, Paula, 2020. "Towards a smart grid power system in Brazil: Challenges and opportunities," Energy Policy, Elsevier, vol. 136(C).
  6. Razavi, Rouzbeh & Gharipour, Amin & Fleury, Martin & Akpan, Ikpe Justice, 2019. "A practical feature-engineering framework for electricity theft detection in smart grids," Applied Energy, Elsevier, vol. 238(C), pages 481-494.
  7. Michel Noussan & Benedetto Nastasi, 2018. "Data Analysis of Heating Systems for Buildings—A Tool for Energy Planning, Policies and Systems Simulation," Energies, MDPI, vol. 11(1), pages 1-15, January.
  8. Ghadi, Mojtaba Jabbari & Rajabi, Amin & Ghavidel, Sahand & Azizivahed, Ali & Li, Li & Zhang, Jiangfeng, 2019. "From active distribution systems to decentralized microgrids: A review on regulations and planning approaches based on operational factors," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
  9. Tuballa, Maria Lorena & Abundo, Michael Lochinvar, 2016. "A review of the development of Smart Grid technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 710-725.
  10. Zeeshan Aslam & Nadeem Javaid & Ashfaq Ahmad & Abrar Ahmed & Sardar Muhammad Gulfam, 2020. "A Combined Deep Learning and Ensemble Learning Methodology to Avoid Electricity Theft in Smart Grids," Energies, MDPI, vol. 13(21), pages 1-24, October.
  11. Hari Agung Yuniarto & Nur Mayke Eka Normasari & Sella Friscilla Silalahi & Irene Clarisa Gunawan & Deendarlianto & Indra Ardhanayudha Aditya & Arionmaro Asi Simaremare & Fajar Nurrohman Haryadi, 2024. "Customer behaviour towards energy usage with time of use tariff: a systematic literature review," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 23(1), pages 44-61, February.
  12. Gumz, Jonathan & Stephenson, Janet R. & Fettermann, Diego C. & Wooliscroft, Ben, 2024. "A mixed-method analysis of New Zealand's smart meter rollout experience," Utilities Policy, Elsevier, vol. 90(C).
  13. Dileep, G., 2020. "A survey on smart grid technologies and applications," Renewable Energy, Elsevier, vol. 146(C), pages 2589-2625.
  14. Jacky Chin & Herlina & Shu-Chiang Lin & Satria Fadil Persada & Choesnul Jaqin & Ilma Mufidah, 2020. "Preventive maintenance model for heating ventilation air conditioning in pharmacy manufacturing sector," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(1), pages 45-53, February.
  15. repec:osf:thesis:7zprk_v1 is not listed on IDEAS
  16. Yash Chawla & Anna Kowalska-Pyzalska & Widayat Widayat, 2019. "Consumer Willingness and Acceptance of Smart Meters in Indonesia," Resources, MDPI, vol. 8(4), pages 1-23, November.
  17. Asaad, Mohammad & Ahmad, Furkan & Alam, Mohammad Saad & Sarfraz, Mohammad, 2021. "Smart grid and Indian experience: A review," Resources Policy, Elsevier, vol. 74(C).
  18. Ryu, Do-Hyeon & Kim, Kwang-Jae, 2024. "The influence of information privacy concerns and perceived electricity usage habits on the usage intention of advanced metering infrastructure," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
  19. Colak, Ilhami & Fulli, Gianluca & Sagiroglu, Seref & Yesilbudak, Mehmet & Covrig, Catalin-Felix, 2015. "Smart grid projects in Europe: Current status, maturity and future scenarios," Applied Energy, Elsevier, vol. 152(C), pages 58-70.
  20. Cominola, A. & Giuliani, M. & Piga, D. & Castelletti, A. & Rizzoli, A.E., 2017. "A Hybrid Signature-based Iterative Disaggregation algorithm for Non-Intrusive Load Monitoring," Applied Energy, Elsevier, vol. 185(P1), pages 331-344.
  21. Heetae Yang & Hwansoo Lee, 2019. "Understanding user behavior of virtual personal assistant devices," Information Systems and e-Business Management, Springer, vol. 17(1), pages 65-87, March.
  22. Strong, Derek Ryan, 2017. "The Early Diffusion of Smart Meters in the US Electric Power Industry," Thesis Commons 7zprk, Center for Open Science.
  23. Shuai, Chenyang & Shen, Liyin & Jiao, Liudan & Wu, Ya & Tan, Yongtao, 2017. "Identifying key impact factors on carbon emission: Evidences from panel and time-series data of 125 countries from 1990 to 2011," Applied Energy, Elsevier, vol. 187(C), pages 310-325.
  24. Lee, Hwarang & Koo, Yoonmo, 2024. "Analysis of user acceptance of information and communications technology for electrical safety inspection based on a choice experiment and hierarchical Bayesian model," Technological Forecasting and Social Change, Elsevier, vol. 208(C).
  25. Ion Popa & Marian Mihai Cioc & Stefan Catalin Pop & Daniel Botez & Marius-Ioan Pantea, 2023. "Aligning Public Policy with REPowerEU Program Objectives by Adopting EESS Solutions: A Technology Acceptance Model Approach," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 25(64), pages 660-660, August.
  26. Jacky Chin & Shu-Chiang Lin, 2016. "A Behavioral Model of Managerial Perspectives Regarding Technology Acceptance in Building Energy Management Systems," Sustainability, MDPI, vol. 8(7), pages 1-13, July.
  27. Maki, Seiya & Fujii, Minoru & Fujita, Tsuyoshi & Shiraishi, Yasushi & Ashina, Shuichi & Gomi, Kei & Sun, Lu & Budi Nugroho, Sudarmanto & Nakano, Ryoko & Osawa, Takahiro & Immanuel, Gito & Boer, Rizald, 2022. "A deep reinforced learning spatiotemporal energy demand estimation system using deep learning and electricity demand monitoring data," Applied Energy, Elsevier, vol. 324(C).
  28. Neves, C. & Oliveira, T. & Santini, F., 2022. "Sustainable technologies adoption research: A weight and meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).
  29. Chou, Jui-Sheng & Kim, Changwan & Ung, Thanh-Khiet & Yutami, I Gusti Ayu Novi & Lin, Guo-Tai & Son, Hyojoo, 2015. "Cross-country review of smart grid adoption in residential buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 192-213.
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