Presentation 2019-01-15
[Invited Talk] Electricity Demand Forecasting by Machine Learning
Hiromasa Shin, Yoshiaki Shiga, Mitsuru Kakimoto,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) An accurate electricity demand forecasting is indispensable for economical operation of power system. We have been developing accurate forecast algorithms for electricity demand, market price and renewable power generation. These algorithms are needed for decarbonization, liberalization, and digitalization in power system. This report introduce research topic of demand forecast algorithm by combining numerical weather prediction and machine learning.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Demand Forecasting / Machine Learning / Numerical Weather Prediction / Renewable Energy
Paper # MSS2018-64,SS2018-35
Date of Issue 2019-01-08 (MSS, SS)

Conference Information
Committee MSS / SS
Conference Date 2019/1/15(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Morikazu Nakamura(Univ. of Ryukyus) / Akio Nakata(Hiroshima City Univ.)
Vice Chair Shigemasa Takai(Osaka Univ.) / Takashi Kobayashi(Tokyo Inst. of Tech.)
Secretary Shigemasa Takai(Toshiba) / Takashi Kobayashi(Osaka Univ.)
Assistant Hideki Kinjo(Okinawa Univ.) / Shinpei Hayashi(Tokyo Inst. of Tech.)

Paper Information
Registration To Technical Committee on Mathematical Systems Science and its applications / Technical Committee on Software Science
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) [Invited Talk] Electricity Demand Forecasting by Machine Learning
Sub Title (in English) Potential of Utilizing Numerical Weather Prediction by Machine Learning
Keyword(1) Demand Forecasting
Keyword(2) Machine Learning
Keyword(3) Numerical Weather Prediction
Keyword(4) Renewable Energy
1st Author's Name Hiromasa Shin
1st Author's Affiliation Toshiba Corporation(Toshiba)
2nd Author's Name Yoshiaki Shiga
2nd Author's Affiliation Toshiba Corporation(Toshiba)
3rd Author's Name Mitsuru Kakimoto
3rd Author's Affiliation Toshiba Corporation(Toshiba)
Date 2019-01-15
Paper # MSS2018-64,SS2018-35
Volume (vol) vol.118
Number (no) MSS-384,SS-385
Page pp.pp.55-56(MSS), pp.55-56(SS),
#Pages 2
Date of Issue 2019-01-08 (MSS, SS)