Published January 11, 2018 | Version v1
Conference paper Open

Application of Artificial Immune System to Domestic Energy Management Problem

Creators

  • 1. University of Salamanca Espejo, s/n. Salamanca, 37003, Spain
  • 2. University of Salamanca Espejo, s/n. Salamanca, 37003, Spain; MediaLab, Massachusetts Institute of Technology 20 Amherst St, Cambridge, Massachusetts, USA
  • 3. Real-Time Power and Intelligent Systems Laboratory Holcombe Department of Electrical and Computer Engineering, Clemson University Clemson, SC 29634S, USA

Description

The connection of devices in a smart home should be done optimally, this helps save energy and money. Numerous optimization models have been applied, they are based on fuzzy logic, linear programming or bio-inspired algorithms. The aim of this work is to solve an energy management problem in a domestic environment by applying an artificial immune system. We carried out a thorough analysis of the different strategies that optimize a domestic environment system, in order to demonstrate the ability of an artificial immune system to find a successful optima that satisfies the problem constraints.

Notes

This work has been partially supported by the Spanish Government through the European Commission H2020 MSCARISE- 2014: DREAM-GO Project (Marie Sklodowska-Curie grant agreement No 641794)

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c14 - Application of Artificial Immune System to Domestic Energy Management Problem.pdf

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Additional details

Funding

DREAM-GO – Enabling Demand Response for short and real-time Efficient And Market Based smart Grid Operation - An intelligent and real-time simulation approach 641794
European Commission