Reservoir Inflow Forecasting Using Neural Networks

نویسندگان

  • CHANDRASHEKAR SUBRAMANIAN
  • MICHAEL T. MANRY
  • JORGE NACCARINO
چکیده

In utilities using a mixture of hydroelectric and nonhydroelectric power, the economics of the hydroelectric plants depend upon the reservoir height and the inflow into the reservoir for several days into the future. Accurate forecasts of reservoir inflow allow the utility to feed proper amounts of fuel to individual plants, and to economically allocate the load between various non-hydroelectric plants.

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تاریخ انتشار 1999