Journal article
Solving a real-life, large-scale energy management problem
This paper introduces a three-phase hybrid heuristic for a large-scale energy management and maintenance scheduling problem. The problem is to schedule maintenance periods and refueling amounts for nuclear power plants with a time horizon of up to five years, and handling a number of scenarios for future demand and prices.
The goal is to minimize the expected total production cost. The first phase of the heuristic solves a constraint programming model of a simplified version of the problem, the second performs a local search, and the third handles overproduction in a greedy fashion.
Language: | English |
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Publisher: | Springer US |
Year: | 2013 |
Pages: | 567-583 |
ISSN: | 10991425 and 10946136 |
Types: | Journal article |
DOI: | 10.1007/s10951-012-0279-8 |
Artificial Intelligence (incl. Robotics) Business and Economics Calculus of Variations and Optimal Control; Optimization Constraint programming Economics / Management Science Hybrid heuristics Maintenance scheduling Operations Research/Decision Theory Optimization Production planning Production/Logistics/Supply Chain ROADEF/EURO Challenge 2010