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Government Support for Energy Saving Projects

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Electronic Government (EGOV 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3183))

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Abstract

We discuss briefly in this paper the design of a knowledge based DSS developed for supporting local government staff in the choice of energy saving projects. The modelling process concerns: the quantitative models, the qualitative knowledge, the data and the user/DSS interface. We show that by combining reasoning and the evaluation of models we can simulate a complex cognitive process and support better the users by providing diagnosis and explanation.

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References

  1. Christian, F.: Encouragement et financement des projets energétiques dans le cadre d’une politique cantonale, Postgrade Mémoire, Ecole Polytechnique de Lausanne (2003)

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  2. Michel, K.: Modelling concepts in a KB-DSS, evaluation of Energy Saving Projects. In: Kljajiae, M., Lasker, G. (eds.) Proceedings 16 th International. Conference on Systems Research, Simulation based DSS session, IIIAS (2004)

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  3. Michel, K., Leif, M.: Expert Systems a DSS Approach. Addison-Wesley, Reading (1990)

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  4. Michel, K., Leif, M.: Knowledge-Based Decision Support Systems. Wiley, Chichester (1995)

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  5. Mitchell, R.M., Kellar, R.M., Kedar-Babelli, S.T.: Explanation–based learning: A unifying view. Machine Learnin 1, 47–80 (1986)

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Author information

Authors and Affiliations

  1. Information System and Decision Science Dept, HEC School of Management, 78350, Jouy-en-Josas, France

    Michel R. Klein

Authors
  1. Michel R. Klein
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Editor information

Editors and Affiliations

  1. Institute of Informatics in Business and Government, University of Linz, Altenbergerstr. 69, 4040, Linz, Austria

    Roland Traunmüller

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© 2004 Springer-Verlag Berlin Heidelberg

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Klein, M.R. (2004). Government Support for Energy Saving Projects. In: Traunmüller, R. (eds) Electronic Government. EGOV 2004. Lecture Notes in Computer Science, vol 3183. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30078-6_16

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  • DOI: https://doi.org/10.1007/978-3-540-30078-6_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22916-2

  • Online ISBN: 978-3-540-30078-6

  • eBook Packages: Springer Book Archive

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