Prediction of heat load in district heating systems by Support Vector Machine with Firefly searching algorithm

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{AlShammari:2016:Energy,
  author =       "Eiman Tamah Al-Shammari and Afram Keivani and 
                 Shahaboddin Shamshirband and Ali Mostafaeipour and 
                 Por Lip Yee and Dalibor Petkovic and Sudheer Ch",
  title =        "Prediction of heat load in district heating systems by
                 Support Vector Machine with Firefly searching
                 algorithm",
  journal =      "Energy",
  volume =       "95",
  pages =        "266--273",
  year =         "2016",
  ISSN =         "0360-5442",
  DOI =          "doi:10.1016/j.energy.2015.11.079",
  URL =          "http://www.sciencedirect.com/science/article/pii/S0360544215016424",
  abstract =     "District heating systems operation can be improved by
                 control strategies. One of the options is the
                 introduction of predictive control model. Predictive
                 models of heat load can be applied to improve district
                 heating system performances. In this article,
                 short-term multistep-ahead predictive models of heat
                 load for consumers connected to district heating system
                 were developed using SVMs (Support Vector Machines)
                 with FFA (Firefly Algorithm). Firefly algorithm was
                 used to optimize SVM parameters. Seven SVM-FFA
                 predictive models for different time horizons were
                 developed. Obtained results of the SVM-FFA models were
                 compared with GP (genetic programming), ANNs
                 (artificial neural networks), and SVMs models with grid
                 search algorithm. The experimental results show that
                 the developed SVM-FFA models can be used with certainty
                 for further work on formulating novel model predictive
                 strategies in district heating systems.",
  keywords =     "genetic algorithms, genetic programming, District
                 heating systems, Heat load, Estimation, Prediction,
                 Support Vector Machines, Firefly algorithm",
}

Genetic Programming entries for Eiman Tamah Al-Shammari Afram Keivani Shahaboddin Shamshirband Ali Mostafaeipour Por Lip Yee Dalibor Petkovic Sudheer Ch

Citations