〇Soehi Suzuki¹, Naoya Takeishi², Masanari Kishimoto¹, Naohisa Yoshitani¹, Kenta Okino¹, Yoshinobu Kawahara², Masahito Hiroshima¹ (1. KYOCERA Corp., 2. RIKEN Center for Advanced Intelligence Project)

Session information

[4M3-GS-13] AI application: Electric power

[4M3-GS-13-01] Outlier detection for hydroelectric power plant operation data.

~Comparison of characteristics of various outlier detection methods.~

[4M3-GS-13-02] Regional Power Demand Estimation Based on Residential Location Choice Simulation

[4M3-GS-13-03] Factor Analysis of Nitrogen Oxides Emissions in Coal Fired Power Plant with LiNGAM

[4M3-GS-13-04] Comparison of Detection Performance of Anomaly Power Consumption Patterns by Outlier Detection Methods Focusing on Daily Household Power Consumption Patterns

[4M3-GS-13-05] Development of Prediction Method for Household Power Consumption

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