Novel grey prediction model with nonlinear optimized time response method for forecasting of electricity consumption in China

Energy

Volumn 118, Issue , 2017, Pages 473-480

  Xu, Ning ^a   Dang, Yaoguo ^b   Gong, Yande ^a  

^a NANJING AUDIT UNIVERSITY   (China)

^b NANJING UNIVERSITY OF AERONAUTICS AND ASTRONAUTICS   (China)

Author keywords

Electricity consumption; Grey prediction model; Initial value; Particle swarm optimization

Indexed keywords

ELECTRIC POWER UTILIZATION; ENERGY UTILIZATION; FORECASTING; NONLINEAR PROGRAMMING; PARTICLE SWARM OPTIMIZATION (PSO); SYSTEM THEORY;

ELECTRICITY-CONSUMPTION; FORECASTING PERFORMANCE; GREY PREDICTION MODEL; INITIAL VALUE; NONLINEAR OPTIMIZATION METHODS; PARTICLE SWARM ALGORITHM; POWER SYSTEM MANAGEMENT; PREDICTION TECHNIQUES;

PREDICTIVE ANALYTICS;

ACCURACY ASSESSMENT; ELECTRICAL POWER; ELECTRICITY GENERATION; FORECASTING METHOD; FUEL CONSUMPTION; NUMERICAL MODEL; OPTIMIZATION; PERFORMANCE ASSESSMENT; SIMULATION;

CHINA;

EID: 85005980974     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2016.10.003     Document Type: Article

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