Split optimization research on public building energy consumption based on simulated annealing and particle swarm optimization algorithm
CAO Xiang-hong
WANG Peng-hui
ZHANG Hua
Abstract：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 optimi-zation algorithm,introduced particle velocity shrinkage factor and the optimal particle roulette gambling strate-gies 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.
Keywords：public building energy modelsimulated annealing algorithm parti-cle swarm optimization algorithmenergy optimization splitenergy management
Publication Date：2016-05-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：8( 81-88 )