The optimal generation scheduling (OGS) of hydropower units holds an important position in
electric power systems, which is significantly investigated as a research issue. Hydropower …

The use of a streamflow forecast for real‐time reservoir operation is constrained by forecast
uncertainty (FU) and limited forecast horizon (FH). The effects of the two factors are …

The optimal hydropower operation of reservoir systems is known as a complex nonlinear
nonconvex optimization problem. This paper presents the application of invasive weed …

Hydropower operation of multi-reservoir systems is very difficult to solve mostly due to their
nonlinear, nonconvex and large-scale nature. While conventional methods are long known …

The stochastic dual dynamic programming (SDDP) algorithm introduced by Pereira and
Pinto in 1991 has sparked essential research in the context of water resources …

Reliable streamflow forecasts are very significant for reservoir operation and hydropower
generation. But for monthly streamflow forecasting, the forecasting result is unreliable and it …

The uncertainties in system and model parameters arising from the volatility of market,
weather and operating conditions pose a major challenge to the optimal short-term …

In this paper, the impact of future climate changes on long-term hydropower generation
(LTHG) of cascade hydropower stations in the lower reaches of the **sha River is …

The efficient utilization of available resources plays a significant role in the operation of
cascaded hydropower systems. Scheduling of such systems may be used to determine …

This paper compares the NEWAVE model, a stochastic dual dynamic programming based
approach used in Brazil for the long term hydropower scheduling of the interconnected …