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A Novel Daily Peak Load Forecasting Method using Analyzable Structured Neural Network
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Document Date: 2002-09-16 10:59:27


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File Size: 382,40 KB

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City

Tokyo / Kanagawa / Hino-city / /

Company

Electric Corporate Ltd. / Neural Networks / Fuji Electric Co. Japan / Sun / /

Country

Japan / /

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Facility

Cornell University / Institute of Electronics / /

IndustryTerm

energy function / conventional algorithm / structural learning algorithm / backpropagation algorithm / proposed energy function / superposed energy function / power systems / /

Organization

IEE of Japan / Saitama university / Institute of Electronics / Information and Communication Engineers / Waseda university / Tokyo / IEEE / Cornell University / /

Person

Yoshikazu Fukuyama / Tetsuro Matsui / Tatsuya Iizaka / /

Position

load forecasting model for the EMS" / visiting scientist / model network modules / appropriate forecasting model / which fits their experienced knowledge / member / /

Technology

expert system / SLF algorithms / Neural Network / Simulation / backpropagation algorithm / structural learning algorithm / using analyzable structured neural network / using an artificial neural network / trained using a structural learning algorithm / /

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