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Motonari Hayashida

Personal Details

First Name:Motonari
Middle Name:
Last Name:Hayashida
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RePEc Short-ID:pha525

Affiliation

電力中央研究所 (Central Research Institute of Electric Power Industry)

http://criepi.denken.or.jp/en/
Japan, Tokyo

Research output

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Jump to: Articles

Articles

  1. Kaneko, Nanae & Fujimoto, Yu & Kabe, Satoshi & Hayashida, Motonari & Hayashi, Yasuhiro, 2020. "Sparse modeling approach for identifying the dominant factors affecting situation-dependent hourly electricity demand," Applied Energy, Elsevier, vol. 265(C).
  2. Motonari Hayashida & Geoffrey J. D. Hewings, 2009. "Regional Business Cycles in Japan," International Regional Science Review, , vol. 32(2), pages 119-147, April.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Kaneko, Nanae & Fujimoto, Yu & Kabe, Satoshi & Hayashida, Motonari & Hayashi, Yasuhiro, 2020. "Sparse modeling approach for identifying the dominant factors affecting situation-dependent hourly electricity demand," Applied Energy, Elsevier, vol. 265(C).

    Cited by:

    1. Fujimoto, Yu & Fujita, Megumi & Hayashi, Yasuhiro, 2021. "Deep reservoir architecture for short-term residential load forecasting: An online learning scheme for edge computing," Applied Energy, Elsevier, vol. 298(C).
    2. Yu Fujimoto & Akihisa Kaneko & Yutaka Iino & Hideo Ishii & Yasuhiro Hayashi, 2023. "Challenges in Smartizing Operational Management of Functionally-Smart Inverters for Distributed Energy Resources: A Review on Machine Learning Aspects," Energies, MDPI, vol. 16(3), pages 1-26, January.
    3. Li, Lechen & Meinrenken, Christoph J. & Modi, Vijay & Culligan, Patricia J., 2021. "Short-term apartment-level load forecasting using a modified neural network with selected auto-regressive features," Applied Energy, Elsevier, vol. 287(C).

  2. Motonari Hayashida & Geoffrey J. D. Hewings, 2009. "Regional Business Cycles in Japan," International Regional Science Review, , vol. 32(2), pages 119-147, April.

    Cited by:

    1. Blanco, Emilio & Elosegui, Pedro & Izaguirre, Alejandro & Montes-Rojas, Gabriel, 2019. "Regional and state heterogeneity of monetary shocks in Argentina," The Journal of Economic Asymmetries, Elsevier, vol. 20(C).
    2. Ron Martin & Peter Sunley & Peter Tyler, 2015. "Local growth evolutions: recession, resilience and recovery," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 8(2), pages 141-148.
    3. Miyazaki, Tomomi, 2013. "Fiscal Policy and Regional Business Cycle Fluctuations in Japan," Discussion Paper Series 583, Institute of Economic Research, Hitotsubashi University.
    4. Hewings, Geoffrey J.D., 2014. "Spatially blind trade and fiscal impact policies and their impact on regional economies," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(4), pages 590-602.
    5. Ron Martin & Peter Sunley & Ben Gardiner & Peter Tyler, 2016. "How Regions React to Recessions: Resilience and the Role of Economic Structure," Regional Studies, Taylor & Francis Journals, vol. 50(4), pages 561-585, April.
    6. Yoshihiro Ohtsuka, 2018. "Large Shocks and the Business Cycle: The Effect of Outlier Adjustments," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 14(1), pages 143-178, April.
    7. Ana Gómez-Loscos & M. Dolores Gadea & Eduardo Bandres, 2020. "Business cycle patterns in European regions," Empirical Economics, Springer, vol. 59(6), pages 2639-2661, December.
    8. Sungyup Chung, 2016. "Assessing the regional business cycle asymmetry in a multi-level structure framework: a study of the top 20 US MSAs," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 229-252, January.
    9. Sungyup Chung, 2016. "Assessing the regional business cycle asymmetry in a multi-level structure framework: a study of the top 20 US MSAs," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 229-252, January.
    10. Asako, Kazumi & Onodera, Takashi & Ueda, Atsuko, 2014. "An Analysis of Regional Business Cycles using Prefectural Composite Indexes in Japan," Discussion Paper Series 603, Institute of Economic Research, Hitotsubashi University.

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