JSAI2018

Presentation information

Poster presentation

General Session » Interactive

[4Pin1] インタラクティブ(2)

Fri. Jun 8, 2018 9:00 AM - 10:40 AM Room P (4F Emerald Lobby)

9:00 AM - 10:40 AM

[4Pin1-43] A pilot study: Application of machine learning to 24 hour period data – three case studies

〇Isao Goto1 (1. Sumitomo Electric Industries, LTD)

Keywords:k-means, Probabilistic Latent Semantic Analysis, Bayesian network, 24 hour period data

In this article, I’d like to introduce three case studies for which I tackled for three years as a pilot study. This pilot study was applied to three fields. 1. Energy consumption in houses. 2. Anomaly detection of photovoltaic power system at Mega-solar system. 3. Sunlight combination type plant factory. In each case 24-hour period data was treated as a frame (but three data formats and types are different), and was analyzed in several methods. These analyses found out beneficial knowledge for each field.