Comparative study of algorithms for optimized control of industrial energy supply systems

Comparative study of algorithms for optimized control of industrial energy supply systems

Abstract Both rising and more volatile energy prices are strong incentives for manufacturing companies to become more energy-efficient and flexible. A promising approach is the intelligent control of Industrial Energy Supply Systems (IESS), which provide various energy services to industrial product...

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Bibliographic Details
Main Authors: Thomas Kohne, Heiko Ranzau, Niklas Panten, Matthias Weigold
Format: Article
Language:English
Published: SpringerOpen 2020-10-01
Series:Energy Informatics
Subjects:
Industrial energy supply systems
Control strategies
Mixed integer linear programming
Deep reinforcement learning
Comparative study
Online Access:http://link.springer.com/article/10.1186/s42162-020-00115-7

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http://link.springer.com/article/10.1186/s42162-020-00115-7

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