• DocumentCode
    1676215
  • Title

    IntelligEnsia for Energy Sustainability Case Study: Manado, Indonesia

  • Author

    Kewo, Angreine ; Manembu, Pinrolinvic ; Sengkey, Clief Hendro

  • Author_Institution
    Inf. Eng., De La Salle Univ., Manado, Indonesia
  • fYear
    2013
  • Firstpage
    443
  • Lastpage
    447
  • Abstract
    Energy sustainability is one of the world focuses and a crucial matter today. In this information technology era, many fancy technologies have been designed and created to help human in creating the better living. In fact, they are also the main causes why the energy demand is increasing. This research is trying to introduce IntelligEnSia, as the recommendation in order to achieve the energy sustainability that focuses in Manado, Indonesia. We realize that the research in this field has been flourished, thus we want to introduce the competences of IntelligEnSia which are relied on the Business Intelligence and its potential to create the new effective behavior. It can provide intelligence reporting of the energy consumption for the better and effective energy management system in the city: resources, availability, consumption and characteristics peak load to peak off times. It is included the report of the list that have improved their consumption behavior. Finally, our solution may help government and industries in decision making and creating policies regarding energy management and the goal to achieve the new better behavior for the energy sustainability.
  • Keywords
    decision making; energy conservation; energy consumption; energy management systems; information technology; sustainable development; Indonesia; IntelligEnsia; Manado; business intelligence; decision making; energy consumption; energy demand; energy management system; energy sustainability case study; information technology; Artificial intelligence; Bismuth; Business; Energy consumption; Mobile communication; Smart grids; Software; Adaptive algorithm; Business Intelligence; Energy sustainability; IntelligEnSia;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modelling Symposium (EMS), 2013 European
  • Conference_Location
    Manchester
  • Print_ISBN
    978-1-4799-2577-3
  • Type

    conf

  • DOI
    10.1109/EMS.2013.75
  • Filename
    6779886