Back to Results
First PageMeta Content
Statistical forecasting / Neural networks / Computational statistics / Data analysis / Forecasting / Time series analysis / Artificial neural network / Load profile / Distribution management system / Information / Science / Statistics


IEEE Intelligent System Applications to Power Sysmtes (ISAP[removed]Improvement of Input-Output Correlations of Electric Power Load Forecasting By Scatter Search Akihiro Mizutani, Tetsuya Yukawa, Kazuyuki Numa and Yasuhi
Add to Reading List

Document Date: 2006-01-19 09:37:59


Open Document

File Size: 269,14 KB

Share Result on Facebook

City

Oita / Kanagawa / Aichi / Nagoya / /

Company

Neural Networks / Fuji Electric Corporate Ltd. / Fuji Electric Co. Japan / Chubu Electric Power Co. Inc. / Artificial Neural Networks / Peak Load Forecasting Using Neural Networks / Suzuki / /

Country

Japan / /

/

Facility

Toyohashi University of Technology / Tokyo Institute of Technology / Cornell University / /

IndustryTerm

industrial systems / x3 solution / distinct solutions / local search / areas using scatter search / forward networks / conrol systems / genetic algorithm / energy systems / power systems / scatter search / /

Organization

Central Load Dispatching Center / Handa Technical High School / IEE of Japan / IEE / Saitama university / Waseda university / Tokyo / Tokyo Institute of Technology / Tokyo / Nakatsu Technical High School / IEEE / Cornell University / Nihon university / Tokyo / Toyohashi University of Technology / Institute of the Electrical Engineering in Japan / /

Person

Yasuhito Kuze / Yoshikazu Fukuyama / Tetsuro Matsui / Akihiro Mizutani / Toshiyuki Yamagishi / Kazuyuki Numa / Yasuhito Kuze Tatsuya Iizaka / Tetsuya Yukawa / Tatsuya Iizaka / /

Position

visiting scientist / Load Forecasting Model for the EMS" / member / /

Product

Sysmtes / /

PublishedMedium

Power Engineering / /

Technology

expert system / LAN / Neural Network / simulation / /

SocialTag