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ゴールドバブルズ

​短期電力負荷予測手法の開発

​キーワード：　深層ニューラルネットワーク,　　オートエンコーダ、多層パーセプトロン（MLP), ラジアル基底関数ニューラル(RBFN)、一般化ラジアル基底関数ニューラル(GRBFN)、ガウシアンプロセス、進化的計算、データマイニング、回帰2進木、ファジィ回帰2進木

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  1. Rikuto Miwa and Hiroyuki Mori, “Development of Deep Generalized Radial Basis Function Network for Short-Term Load Forecasting," IFAC-Papers-Online (Elsevier), Vol. 58, Issue 2, pp. 378-383, July 2024.

  2. ​Rikuto Miwa and Hiroyuki Mori, “Development of Deep Generalized Radial Basis Function Network for Short-Term Load Forecasting,” Proc. of IFAC WC2023, 6 pages, Yokohama, Japan, July 2023.

  3. Rikuto Miwa and Hiroyuki Mori, "Deep GRBFN for Short-term Load Forecasting," The Fifth International Workshop on Smart Power and Energy (SPE2022), Taipei, Oct. 2022.

  4. 三輪陸人,森啓之：「Deep GRBFNを用いた短期負荷予測」、令和4年電気学会電力技術/電力系統技術/半導体電力変換合同研究会、PE-22-083、長崎(2022-03)

  5. ​​H. Mori and A. Takahashi, " Hybrid Intelligent Method of Relevant Vector Machine and Regression Tree for Probabilistic Load Forecasting," Proc. of IEEE PES ISGT Europe 2011, 6 pages, Manchester, UK, Dec. 2011.

  6. Daisuke Iwashita and Hiroyuki Mori, "Risk quantification for ANN-based short-term load forecasting,“ Electrical Engineering in Japan(Wiley InterScience), Vol. 166, Issue 2, pp. 54-62, Jan. 2009.

  7. Eitaro Kurata and Hiroyuki Mori, "Short-term load forecasting using informative vector machine,“　Electrical Engineering in Japan(Wiley InterScience), Vol. 166,　Issue 2, pp. 23-31, Jan. 2009.

  8. T. Itagaki and H. Mori, “Reconstructing clusters for preconditioned short-term load forecasting, “Electrical Engineering in Japan (Wiley InterScience), Vol. 161, Issue 1, pp. 26-33,　Oct. 2007.

  9. H. Mori and E. Kurata, "Graphical Modeling for Selecting Input Variables of Short-term Load Forecasting," Proc. of IEEE PES PowerTech 2007(CD-ROM), Lausanne, July 2007.

  10. 倉田栄太郎，森啓之：「Informative Vector Machineを用いた短期電力負荷予測」，電気学会論文誌B, Vol.127-B, No.4, pp. 566-572 (2007-4).

  11. H. Mori and Y. Yamada, "An EPSO-Based Method for State Estimation in Radial Distribution Systems", Proc. of 2006 IEEE International Conference on Systems, Man and Cybernetics (SMC 2006) (CD-ROM), pp. 1855 - 1860, Taipei, Taiwan, Oct 2006.

  12. H. Mori and M. Ohmi, “A Relevance Vector Machine Approach to Short-term Load Forecasting in Electric Power Systems,” Proc. of RASC2006, pp. 158-164, Canterbury, UK, July 2006.

  13. 岩下大輔，森啓之：「ANNモデルを用いた短期電力負荷予測におけるリスクの定量化」，電気学会論文誌B, Vol.126-B, No.1, pp. 29-35 (2006-1).

  14. 近江正太郎，森啓之：「ガウシアンプロセスによる不確定性を表現した短期電力負荷予測」，電気学会論文誌B, Vol. 126-B, No. 2, pp. 202-208 (2006-2).

  15. E. Kurata and H. Mori, "A Hybrid Intelligent Method for Estimating Peak-Load Time," Proc. of ISAP (CD-ROM), Arlington, VA, Nov. 2005.

  16. 板垣忠大，森啓之：「短期電力負荷予測におけるクラスタ再構成前処理手法」，電気学会論文誌B, Vol.125-B, No.3, pp. 302-307(2005-3)

  17. H. Mori and T. Itagaki, "A Fuzzy Inference Neural Network Based Method for Short-term Load Forecasting", Proc. of 2004 IEEE IJCNN, Vol. 3, pp.2403 - 2406, Budapest, Hungary, July 2004.

  18. H. Mori and T. Itagaki, "A Precondition Technique with Reconstruction of Data Similarity-Based Classification for Short-term Load Forecasting", Proc. of 2004 IEEE PES General Meeting, pp. 280 - 285, Denver, Co., Jun. 2004.

  19. 森啓之，坂谷嘉則，藤野達郎，沼一之：「回帰二進木を用いた翌日最大電力の特徴抽出」，電気学会論文誌B, Vol.124-B, No.3, pp. 381-388(2004-3)

  20. H. Mori and Y. Sakatani, "An Integrated Method of Fuzzy Data Mining and Fuzzy Inference for Short-term Load Forecasting," Proc. of ISAP (CD-ROM), Limnos, Greece, Aug. 2003.

  21. H. Mori, Y. Sakatani, T. Fujino, and K. Numa, “An Efficient Hybrid Method of Regression Tree and Fuzzy Inference for Short-term Load Forecasting in Electric Power Systems,” Proc. of RASC 2002,  pp. 1-6, Nottingham, UK, Dec. 2002.

  22. H. Mori, S. Yamada, T. Fujino, and K. Numa,  "An ANN-based Method for Probabilistic Short-term Load Forecasting in Electric Power Systems," Proc. of RASC 2002, pp. 471-476, Nottingham, UK, Dec. 2002.

  23. H. Mori, H. Aoyama, T. Fujino, and K. Numa, “Application of Preconditioned RBFN to Short-term Load Forecasting,” in C.H. Dagli, et al. (Eds.), “Intelligent Engineering Systems through Artificial Neural Networks,” Vol. 12, pp.　657-663, ASME Press, New York, U.S.A., Nov. 2002.

  24. Hiroyuki Mori　and Noriyuki Kosemura, "A data mining method for short-term load forecasting in power systems,“　Electrical Engineering in Japan(Wiley InterScience), Vol. 139,　Issue 2, pp. 12-22, Apr. 2002.

  25. 森啓之, 小瀬村紀之,石黒健太,近藤徹：「ファジィ最適回帰2進木を用いた短期電力負荷予測」,電気学会論文誌B, Vol.121-B, No.12,pp. 1849-1855(2001-12）

  26. H. Mori, N. Kosemura, K. Ishiguro and T. Kondo, "Short-term Load Forecasting with Fuzzy Regression Tree in Power Systems," Proc. of 2001 IEEE International Conference on Systems, Man & Cybernetics, pp. 1948-1953,  Tucson, AZ, U.S.A., Oct.  2001.

  27. H. Mori and A. Yuihara, "Deterministic Annealing Clustering for ANN-Based Short-term Load Forecasting, " IEEE　Trans. on Power Systems, Vol. 16, No. 3, pp. 545-551, Aug. 2001.

  28. H. Mori and H. Aoyama, "ANN-Based Short-term Load Forecasting with　Considerations of the Error Characteristics, " Proc. of ISAP'01, pp.　376-380,　Budapest, Hungary, June 2001.

  29. 森啓之,小瀬村紀之：「データマイニング手法による短期電力負荷予測」,電気学会論文誌B, Vol.　121, No.　2,pp.　234-241　(2001-2)

  30. H. Mori and N. Kosemura, "Optimal　Regression Tree Based Rule Discovery for Short-term Load Forecasting," Proc. of 2001 IEEE PES Winter Meeting, Vol. 2, pp.421-426, Columbus, USA, Jan. 2001.

  31. H. Mori, Y. Sone, D. Moridera and T.　Kondo, “A Parallel Tabu Search Based Fuzzy Inference for Short-term Load Forecasting," Proc. of 2000 IEEE PES Winter Meeting, Vol. 3, pp.1702-1707, Singapore, Jan. 2000.

  32. H. Mori, Y. Sone, D. Moridera and T. Kondo, "Accumulative Effect of Discomfort Index for Fuzzy Short-term Load Forecasting," Int'l J. of Engineering Intelligent Systems, Vol. 7, No. 4, pp. 233-238, Dec. 1999.

  33. H. Mori, Y. Sone, D. Moridera and T. Kondo, "Fuzzy Inference Models for Short-term Load Forecasting with Tabu Search," Proc. of 1999 IEEE International Conf. on Systems, Man, and Cybernetics, Vol. 6, pp. 551-556, Tokyo, Japan, October 1999.

  34. H. Mori and Y. Sone, "A Simplified Fuzzy Inference Method with Tabu Search for Short-term Load Forecasting in Power Systems," Proc. of IEEE Conference on Decision and Control, Vol. 4, pp. 4240- 4245, Tampa, FL, USA, December 1998

  35. 森啓之,小林秀典：「ファジィ推論を用いた短期電力負荷予測」 電気学会論文誌B, Vol. 116, No.11, 　pp. 1354-1360(1996-11).

  36. H. Mori and H. Kobayashi, "Optimal Fuzzy Inference for Short-Term Load Forecasting," IEEE Trans. on Power Systems, Vol. 11, No. 1, pp. 390-396, Feb. 1996.

  37. H. Mori and S. Urano, "Short-Term Load Forecasting with Chaos Time Series Analysis," Proc. of IEEE ISAP '96, pp. 133-137, Orlando, FL, USA, Feb. 1996.

  38. H. Mori and H. Kobayashi, "A Fuzzy Neural Net Short-Term for Load Forecasting," Proc. of ISAP'94, pp. 775-782, Montpellier, France, Aug. 1994.

  39. H. Mori, and T. Ogasawara, "Determination of the Optimal Artificial Neural Networks for Power System Short-Term Load Forecasting with a Genetic Algorithm," Proc. of 1993 International Symposium on Nonlinear Theory and Its Application, (NOLTA'93), pp. 677-682, Honolulu, HI,  Dec. 1993.

  40. H. Mori, and T. Ogasawara, "A Recurrent Neural Network Approach to Short-Term Load Forecasting," Proc. of INNS WCNN'93, pp. I/342-I/345, Vancouver, Canada, June 1993.

  41. H. Mori and T. Ogasawara, "A Recurrent Neural Network for Short-Term Load Forecasting," Proc. of Second International Forum on ANNPS'93, pp. 395-340, Yokohama, Japan,  April 1993.

  42. H. Mori and S. Suga, "Power System Harmonics Prediction with an Artificial Neural Network," Proc. of IEEE ISCAS '91, pp. 1129-1132, Singapore, June 1991.

​研究実績

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