Decision support system for energy savings and emissions trading in industrial scenarios

Maria Marques, Rui Neves-Silva

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

This chapter proposes a decision support approach for energy savings and emissions trading based on the requirements collected through a set of industrial users. These requirements served as guideline for identification of needs that should be addressed with respect to the decision support approach, constituting a fundamental step for future platform development. The decision support approach proposes two different perspectives: support for immediate reaction (based on the paradigm of intelligent decision support implemented through the use of Case-based Reasoning together with probabilistic analysis); and support for process reconfiguration and Emission Trading System (ETS) (implemented through the use of multi-criteria decision analysis using MACBETH). The chapter illustrates a categorization approach using main criteria involved in the process and associated algorithms. Moreover the approaches proposed were successfully tested in industrial environment and the results obtained are here presented.

Original languageEnglish
Title of host publicationIntelligent Decision Technology Support in Practice
EditorsG. Phillips-Wren , R. Neves-Silva , R. J. Howlett , L. C. Jain , J. Watada, J. W. Tweedale
Place of PublicationCham
PublisherSpringer International Publishing
Pages31-47
Number of pages17
ISBN (Electronic)978-3-319-21209-8
ISBN (Print)978-331921208-1
DOIs
Publication statusPublished - 2016
Event5th International Conference on Intelligent Decision Technologies, 2013 - Sesimbra, Portugal
Duration: 26 Jun 201328 Jun 2013

Publication series

NameSmart Innovation, Systems and Technologies
Volume42
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Conference

Conference5th International Conference on Intelligent Decision Technologies, 2013
Country/TerritoryPortugal
CitySesimbra
Period26/06/1328/06/13

Keywords

  • Decision support
  • Energy savings
  • Industrial test cases

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