Intelligent forecasting model for regional power grid with distributed generation

IEEE Systems Journal

Volumn 11, Issue 3, 2017, Pages 1836-1845

  Xu, Xiaomin ^a   Niu, Dongxiao ^a   Wang, Qiong ^a   Wang, Peng ^a   Wu, Desheng Dash ^b,c  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

^b UNIVERSITY OF TORONTO   (Canada)

^c REYKJAVIK UNIVERSITY   (Iceland)

Author keywords

Distributed generation (DG); fruit fly immune algorithm optimization; neural network polynomial regression; support vector machine (SVM); utilization coefficient

Indexed keywords

DISTRIBUTED POWER GENERATION; ECONOMICS; ELECTRIC POWER GENERATION; ELECTRIC POWER SYSTEM INTERCONNECTION; ENERGY SECURITY; FORECASTING; FRUITS; OPTIMIZATION; SUPPORT VECTOR MACHINES; WIND POWER;

COMBINATION FORECASTING MODELS; DISTRIBUTED WIND POWER GENERATION; IMMUNE ALGORITHMS; INTELLIGENT FORECASTING; INTELLIGENT MODELING; POLYNOMIAL REGRESSION; PREDICTION ACCURACY; REGIONAL POWER GRIDS;

ELECTRIC POWER TRANSMISSION NETWORKS;

EID: 85030473459     PISSN: 19328184     EISSN: 19379234     Source Type: Journal    
DOI: 10.1109/JSYST.2015.2438315     Document Type: Article

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