Building's electricity consumption prediction using optimized artificial neural networks and principal component analysis

Energy and Buildings

Volumn 108, Issue , 2015, Pages 106-113

  Li, Kangji ^a   Hu, Chenglei ^a   Liu, Guohai ^a   Xue, Wenping ^a  

^a JIANGSU UNIVERSITY   (China)

Author keywords

Artificial neural networks; Building energy prediction; Genetic Algorithm; Particle Swarm Optimization; Principal component analysis

Indexed keywords

ALGORITHMS; BUILDINGS; ELECTRIC POWER UTILIZATION; FORECASTING; GENETIC ALGORITHMS; NEURAL NETWORKS; OPTIMIZATION; PARTICLE SWARM OPTIMIZATION (PSO);

BUILDING ENERGY; COMPARISON RESULT; DATA-DRIVEN METHODS; ELECTRICITY-CONSUMPTION; HYBRID GENETIC ALGORITHMS; IMPROVED PARTICLE SWARM OPTIMIZATION ALGORITHMS; PERFORMANCE COMPARISON; SHORT TERM PREDICTION;

PRINCIPAL COMPONENT ANALYSIS;

EID: 84942304105     PISSN: 03787788     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enbuild.2015.09.002     Document Type: Article

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