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Transactive control for connected homes and neighbourhoods

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  • Na (Nora) Wang

    (Pacific Northwest National Laboratory)

Abstract

Smart in-home devices, if integrated with the capability to transact energy with one another and with the electric grid, can offer a disruptive solution to managing energy supply and demand. Such transactive energy networks could turn homes from passive energy consumers into intelligent, active energy storage and service providers for the future grid.

Suggested Citation

  • Na (Nora) Wang, 2018. "Transactive control for connected homes and neighbourhoods," Nature Energy, Nature, vol. 3(11), pages 907-909, November.
    • Handle: RePEc:nat:natene:v:3:y:2018:i:11:d:10.1038_s41560-018-0257-2
    DOI: 10.1038/s41560-018-0257-2
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    Cited by:

    1. Park, Byungkwon & Dong, Jin & Liu, Boming & Kuruganti, Teja, 2023. "Decarbonizing the grid: Utilizing demand-side flexibility for carbon emission reduction through locational marginal emissions in distribution networks," Applied Energy, Elsevier, vol. 330(PA).
    2. Sophie Adams & Donal Brown & Juan Pablo Cárdenas Álvarez & Ruzanna Chitchyan & Michael J. Fell & Ulf J. J. Hahnel & Kristina Hojckova & Charlotte Johnson & Lurian Klein & Mehdi Montakhabi & Kelvin Say, 2021. "Social and Economic Value in Emerging Decentralized Energy Business Models: A Critical Review," Energies, MDPI, vol. 14(23), pages 1-29, November.
    3. Xiong, Chengyan & Meng, Qinglong & Wei, Ying'an & Luo, Huilong & Lei, Yu & Liu, Jiao & Yan, Xiuying, 2023. "A demand response method for an active thermal energy storage air-conditioning system using improved transactive control: On-site experiments," Applied Energy, Elsevier, vol. 339(C).
    4. Yehui Li & Dalin Qin & H. Vincent Poor & Yi Wang, 2024. "Introducing edge intelligence to smart meters via federated split learning," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    5. Wang, Bo & Yang, Zihan & Le Hoa Pham, Thi & Deng, Nana & Du, Heran, 2023. "Can social impacts promote residents’ pro-environmental intentions and behaviour: Evidence from large-scale demand response experiment in China," Applied Energy, Elsevier, vol. 340(C).
    6. Park, Jungyeon & Alvarenga, Estêvão & Jeon, Jooyoung & Li, Ran & Petropoulos, Fotios & Kim, Hokyun & Ahn, Kwangwon, 2024. "Probabilistic forecast-based portfolio optimization of electricity demand at low aggregation levels," Applied Energy, Elsevier, vol. 353(PB).
    7. Brown, Donal & Hall, Stephen & Martiskainen, Mari & Davis, Mark E., 2022. "Conceptualising domestic energy service business models: A typology and policy recommendations," Energy Policy, Elsevier, vol. 161(C).

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