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  4. Neural networks - a proper approach to the energy management problem?
 
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1991
Conference Paper
Title

Neural networks - a proper approach to the energy management problem?

Other Title
Neuronale Netze - eine geeignete Methode zur Lösung des Energiemanagementproblems
Abstract
Neural networks are an emerging computional technology which mimic the computional abilities of biological systems by using a large number of simple, interconnected artificial neurons. Because of their specific processing advantages, neural networks are the technology of choice for an approach to the energy management problem. The progress in performance that neural networks could offer, is demonstrated on the important subtask "state-of-charge (SOC) estimate" of a lead-acid battery in a renewable enrgy supply system (RES). The results of theoretical investigations encourage practical testing and further application of different kinds of neural networks to other subtasks of the energy management problem.
Author(s)
Stoll, M.
Mainwork
Tenth E.C. Photovoltaic Solar Energy Conference '91. Proceedings  
Conference
Photovoltaic Solar Energy Conference 1991  
Language
English
Fraunhofer-Institut für Solare Energiesysteme ISE  
Keyword(s)
  • Energiemanagement

  • energy management

  • Inselsystem

  • Ladezustandschätzung

  • neural network

  • neuronales Netzwerk

  • stand-alone system

  • state-of-charge estimate

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