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Authors: Łukasz Domagała ; Tomasz Wojdyła ; Wojciech Legierski and Michał Świderski

Affiliation: Silesian University of Technology, Poland

ISBN: 978-989-8565-10-5

Keyword(s): Optimization, Profit, Energy, Industry.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems ; Industrial Applications of Artificial Intelligence ; Problem Solving ; Scheduling and Planning

Abstract: An energy company manages power stations, handles sales and purchases of electrical energy, CO2 emission permits and other goods. The goal of such a company is to ensure energy safety of its clients and maximize the profit. The problem is complex because of its structure and size therefore efficient automated approaches for solving it are in demand. We have generalized the problem definition to account for any structure of the power stations, market data and time scope. The definition describes a non-linear combinatorial optimization problem. We have tested a number of approaches including: constraint/ logic/ dynamic/ integer/ linear programming, local search and their hybrids using prototypes with input data from a real life process. We present a hybrid solver to produce an acceptable, near optimal solution which satisfies the requirements of an industrial application. Our research is a road-sign for development of similar software for the energy industry.

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Paper citation in several formats:
Domagała, Ł.; Wojdyła, T.; Legierski, W. and Świderski, M. (2012). A Hybrid Solver for Maximizing the Profit of an Energy Company.In Proceedings of the 14th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-8565-10-5, pages 278-283. DOI: 10.5220/0004000602780283

@conference{iceis12,
author={Łukasz Domagała. and Tomasz Wojdyła. and Wojciech Legierski. and Michał Świderski.},
title={A Hybrid Solver for Maximizing the Profit of an Energy Company},
booktitle={Proceedings of the 14th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2012},
pages={278-283},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004000602780283},
isbn={978-989-8565-10-5},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - A Hybrid Solver for Maximizing the Profit of an Energy Company
SN - 978-989-8565-10-5
AU - Domagała, Ł.
AU - Wojdyła, T.
AU - Legierski, W.
AU - Świderski, M.
PY - 2012
SP - 278
EP - 283
DO - 10.5220/0004000602780283

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