Economic Evaluation of Predictive Dispatch Model in MAS-Based Smart Home

  • Amin Shokri GazafroudiEmail author
  • Francisco Prieto-Castrillo
  • Tiago Pinto
  • Aria Jozi
  • Zita Vale
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 619)


This paper proposes a Predictive Dispatch System (PDS) as part of a Multi-Agent system that models the Smart Home Electricity System (MASHES). The proposed PDS consists of a Decision-Making System (DMS) and a Prediction Engine (PE). The considered Smart Home Electricity System (SHES) consists of different agents, each with different tasks in the system. A Modified Stochastic Predicted Bands (MSPB) interval optimization method is used to model the uncertainty in the Home Energy Management (HEM) problem. Moreover, the proposed method to solve HEM problem is based on the Moving Window Algorithm (MWA). The performance of the proposed Home Energy Management System (HEMS) is evaluated using a JADE implementation of the MASHES.


Home Energy Management System Multi-agent system Prediction engine Interval optimization Decision-making under uncertainty 



This work has been supported by the European Commission H2020 MSCA-RISE-2014: Marie Sklodowska-Curie project DREAM-GO Enabling Demand Response for short and real-time Efficient And Market Based Smart Grid Operation - An intelligent and real-time simulation approach ref. 641794. Moreover, the authors would like to thank Dr. Juan Manuel Corchado of University of Salamanca for his thoughtful suggestions and supports.


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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Amin Shokri Gazafroudi
    • 1
    Email author
  • Francisco Prieto-Castrillo
    • 1
    • 3
  • Tiago Pinto
    • 1
    • 2
  • Aria Jozi
    • 2
  • Zita Vale
    • 2
  1. 1.BISITE Research GroupUniversity of SalamancaSalamancaSpain
  2. 2.GECAD Research GroupIPP - Polytechnic of PortoPortoPortugal
  3. 3.MediaLabMassachusetts Institute of TechnologyCambridgeUSA

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