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TAWARAN TEKNIK

Artificial Neural Network For Use In Forecasting Hydropower Reservoir Operation

TINJAUAN TEKNOLOGI

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.

Mega - Trend

Energy and Power

Tahap Kesediaan Teknologi (TRL)

TRL 1

Nombor Paten

MY-186235-A

Dapatkan helaian fakta teknologi di sini:

Orang yang boleh dihubungi untuk tawaran ini:

Lee Ching Shya

Pegawai Perniagaan UMCIC Universiti Malaya

e-mel:  leecs@um.edu.my

Tel: +603-7967-7351/7352

MAKLUMAT LANJUT

Anda mempunyai soalan untuk mengetahui tentang teknologi atau kerjasama? 
Sila hubungi kami:

+603 - 7967 7351

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