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Artificial Neural Network For Use In Forecasting Hydropower Reservoir Operation

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Reg. ID : 16791
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Description

The present invention relates to a method of forecasting reservoir inflow for hydropower reservoir operation. The method comprising the steps of collecting reservoir inflow data as an input; employing a neural network and provide an analysis on the input; and determining new reservoir inflow data based on the analysis. The present invention also relates to a system of forecasting reservoir inflow of hydropower reservoir operation comprising means for collecting reservoir inflow data as an input; means for accessing a database having stored therein historical reservoir inflow data; means for analyzing the input and compare with the database; and a front end system to receive a request from a user.

Contact Person/Inventor

Name Email Contact Phone
Um Centre Of Innovation And Enterprise (Umcie) umcie@um.edu.my 013-2250151 / 03-79677351

Intellectual Property

Type of IP Registration ID
1 Patent Filed PI2010700099

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