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Document type:
Konferenzbeitrag 
Contribution type:
Textbeitrag / Aufsatz 
Author(s):
Wedel, W. G.; Hanel, A.; Spliethoff, H.; Vandersickel, A. 
Title:
Improving information gain from optimization problems using artificial neural networks 
Abstract:
Decisions in energy policy are influenced by the results from energy systems optimizations. Uncertainties regarding the input parameters of optimization problems, e.g. cost developments of technologies and resources in the future, may influence the optimization results in such a way, that an easy interpretation of results is not possible. The methodology presented herein aims to overcome the problem of uncertainties and to allow taking into account probability distributions (pd) for al...    »
 
Keywords:
Optimization; Energy; Artificial Neural Networks; Design of Experiment; Uncertainty 
Book / Congress title:
THE 32ND INTERNATIONAL CONFERENCE ON EFFICIENCY, COST, OPTIMIZATION, SIMULATION AND ENVIRONMENTAL IMPACT OF ENERGY SYSTEMS 
Congress (additional information):
ECOS 2019 
Date of congress:
23.06.2019-28.06.2019 
Year:
2019 
Pages:
12 
Reviewed:
ja 
Language:
en 
TUM Institution:
Lehrstuhl für Energiesysteme