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Electricity demand response in Japan: Experimental evidence from a residential photovoltaic power-generation system. (2016). Tanaka, Makoto ; Ida, Takanori ; Takanori, Kayo Murakami .
In: Economics of Energy & Environmental Policy.
RePEc:aen:eeepjl:eeep5-1-ida.

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  1. HETEROGENEOUS TREATMENT EFFECTS OF NUDGE AND REBATE: CAUSAL MACHINE LEARNING IN A FIELD EXPERIMENT ON ELECTRICITY CONSERVATION. (2022). Murakami, Kayo ; Ushifusa, Yoshiaki ; Ida, Takanori ; Shimada, Hideki.
    In: International Economic Review.
    RePEc:wly:iecrev:v:63:y:2022:i:4:p:1779-1803.

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  2. The causal effect of private and organizational climate-related identity on climate protection activities: Evidence from a framed field experiment in Japan. (2022). Arimura, Toshi ; Nakai, Miwa ; Groh, Elke D ; Ziegler, Andreas.
    In: MAGKS Papers on Economics.
    RePEc:mar:magkse:202229.

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  3. Automated computational design method for energy systems in buildings using capacity and operation optimization. (2022). Nagai, Tatsuo ; Ikeda, Shintaro ; Iijima, Fuyumi.
    In: Applied Energy.
    RePEc:eee:appene:v:306:y:2022:i:pa:s0306261921012782.

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  4. Household energy efficiency interventions: A systematic literature review. (2021). McAndrew, Ryan ; Gordon, Ross ; Mulcahy, Rory ; Russell-Bennett, Rebekah.
    In: Energy Policy.
    RePEc:eee:enepol:v:150:y:2021:i:c:s0301421521000057.

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  5. Heterogeneous Treatment Effects of Nudge and Rebate:Causal Machine Learning in a Field Experiment on Electricity Conservation. (2020). Murakami, Kayo ; Ushifusa, Yoshiaki ; Ida, Takanori ; Shimada, Hideki.
    In: Discussion papers.
    RePEc:kue:epaper:e-20-003.

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  6. Using ‘smartness’ to reorganise sectors: Energy infrastructure and information engagement. (2018). Nyberg, Roy A.
    In: International Journal of Information Management.
    RePEc:eee:ininma:v:39:y:2018:i:c:p:60-68.

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References

References cited by this document

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