Optimization models have been widely used in the power industry to aid the decision-
making process of scheduling and dispatching electric power generation resources, a …

We give the reader a tour of good energy optimization models that explicitly deal with
uncertainty. The uncertainty usually stems from unpredictability of demand and/or prices of …

In addition to long-existing load uncertainty on power systems, continuously increasing
renewable energy injections (such as wind and solar) have further made the power grid …

A dynamic (multi-stage) stochastic programming model for the weekly cost-optimal
generation of electric power in a hydro-thermal generation system under uncertain demand …

This paper develops a solution method for scheduling units of a power-generating system to
produce electricity by taking into consideration the stochasticity of the hourly load and its …

Optimal scheduling of power generating units must take into account possibilities of forecast
errors and equipment failure. The stochastic unit commitment problem addresses …

Within the framework of multi-stage mixed-integer linear stochastic programming we
develop a short-term production plan for a price-taking hydropower plant operating under …

Abstract The Unit Commitment problem in energy management aims at finding the optimal
productions schedule of a set of generation units while meeting various system-wide …

Abstract The Unit Commitment problem in energy management aims at finding the optimal
production schedule of a set of generation units, while meeting various system-wide …

The electric power industry is going through deregulation. As a result, the load on the
generating units of a utility is becoming increasingly unpredictable. Furthermore, electric …