JOURNAL OF LIGHT INDUSTRY

CN 41-1437/TS  ISSN 2096-1553

Volume 31 Issue 3
May 2016
Article Contents
CAO Xiang-hong, WANG Peng-hui and ZHANG Hua. Split optimization research on public building energy consumption based on simulated annealing and particle swarm optimization algorithm[J]. Journal of Light Industry, 2016, 31(3): 81-88. doi: 10.3969/j.issn.2096-1553.2016.3.011
Citation: CAO Xiang-hong, WANG Peng-hui and ZHANG Hua. Split optimization research on public building energy consumption based on simulated annealing and particle swarm optimization algorithm[J]. Journal of Light Industry, 2016, 31(3): 81-88. doi: 10.3969/j.issn.2096-1553.2016.3.011 shu

Split optimization research on public building energy consumption based on simulated annealing and particle swarm optimization algorithm

  • Received Date: 2015-09-24
    Available Online: 2016-05-15
  • For public building sub metering in energy resolution of problems, the improved SA_PSO algorithm was put forward. The algorithm simulated the combination of annealing mechanism and particle swarm optimization algorithm, introduced particle velocity shrinkage factor and the optimal particle roulette gambling strategies for perturbation. Using SA_PSO algorithm to optimize the public building energy resolution mathematical model parameters, the hourly energy consumption data from split could be gotten. The simulation results showed that SA_PSO algorithm had better convergence performance, could effectively avoid the particles falling into local minimum energy consumption parameters correction value and quickly reached the global optimum.
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