Optimal generation scheduling of hydro-based power units has a significant place in electric
power systems, which considerably has been dealt with as a subject of investigations for …

This systematic review investigates disparities in research coverage and assesses the
implications of income and price elasticities on household electricity demand. By analyzing …

This paper presents an optimization approach to solve the short-term hydropower unit
commitment and loading problem with uncertain inflows. A scenario tree is built based on a …

This paper models large pumped hydro energy storage in a future power system where
variable generation, primarily in the form of wind generation, is the dominant source of …

This paper proposes an operational policy for long-term hydropower scheduling based on
deterministic nonlinear optimization and annual inflow forecasting models using an open …

In this thesis, I studied sequential decision making problems, with a focus on the unit
commitment problem. Traditionnaly solved by dynamic programming methods, this problem …

This paper presents a new approach for long term hydropower scheduling. In opposition to
the standard Markovian stochastic dynamic programming approach, where monthly inflows …

Hydrothermal systems optimal scheduling requires the representation of uncertainties in
future inflows in order to hedge against adverse future low inflows by committing thermal …

This paper presents a predictive control approach for long-term generation scheduling of
hydro-thermal power systems. The approach is based on an open-loop feedback control …

Markov stochastic dynamic programming (MSDP) has been extensively used for long-term
hydrothermal systems (LTHS) of single-reservoir systems and has inspired many …