Artificial neural networks for short-term load forecasting in microgrids environment

Energy

Volumn 75, Issue , 2014, Pages 252-264

  Hernández, Luis ^a   Baladrón, Carlos ^b   Aguiar, Javier M ^b   Carro, Belén ^b   Sánchez Esguevillas, Antonio ^b   Lloret, Jaime ^c  

^a CIEMAT   (Spain)

^b UNIVERSITY OF VALLADOLID   (Spain)

^c UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

Author keywords

Artificial neural network; K Means algorithm; Microgrid; Pattern recognition; Self organizing map; Short term load forecasting

Indexed keywords

CLUSTER COMPUTING; CONFORMAL MAPPING; ELECTRIC POWER PLANT LOADS; FORECASTING; K-MEANS CLUSTERING; MICROGRIDS; MULTILAYER NEURAL NETWORKS; NEURAL NETWORKS; PATTERN RECOGNITION;

DEMAND FORECASTING; ENERGY PRODUCTIONS; FUTURE GENERATIONS; IBERDROLA; MICRO GRID; MODEL VALIDATION; RESOURCE CONSUMPTION; SHORT TERM LOAD FORECASTING;

SELF ORGANIZING MAPS;

ARTIFICIAL NEURAL NETWORK; ELECTRICITY GENERATION; ENERGY EFFICIENCY; NUMERICAL MODEL; OPTIMIZATION; PATTERN RECOGNITION;

SPAIN;

EID: 84908060024     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2014.07.065     Document Type: Article

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