Hitachi and the Indian Statistical Institute Bangalore develop a theoretical method to determine useful clusters of data necessary for efficient forecasting

日立製作所は以下のニュースリリースを発行しました。

発行日

2018年9月3日

タイトル

Hitachi and the Indian Statistical Institute Bangalore develop a theoretical method to determine useful clusters of data necessary for efficient forecasting

リリース文抜粋

Example of identifying useful historic data for Electric Load Forecast

Hitachi India, a wholly owned subsidiary of Hitachi, and the Indian Statistical Institute today announced the joint development of HISIA, a data analysis method that identifies the type and amount of historic data effective for accurate forecasting. HISIA, is an acronym for "Hitachi and ISI Analysis" and provides a theoretical assessment to judge the amount of data that can minimize the estimation error for a given confidence level.

The technical report on this study will be presented by the team at the 10^th IFAC Control of Power and Energy Systems conference to be held from 4^th to 6^th September 2018 at Meiji University in Tokyo, Japan.

Hitachi will continue to improve and increase applications of HISIA in digital solutions such as predictive maintenance, healthcare and finance.