Prediction of the Italian electricity price for smart grid applications

Neurocomputing

Volumn 170, Issue , 2015, Pages 286-295

  Crisostomi, Emanuele ^a   Gallicchio, Claudio ^a   Micheli, Alessio ^a   Raugi, Marco ^a   Tucci, Mauro ^a  

^a UNIVERSITY OF PISA   (Italy)

Author keywords

Echo state networks; Electricity price; Smart grid; Time series prediction methods

Indexed keywords

DOMESTIC APPLIANCES; ELECTRIC POWER PLANTS; ELECTRIC POWER SYSTEM ECONOMICS; FORECASTING; POWER MARKETS; PREDICTIVE ANALYTICS; TIME SERIES; VEHICLE-TO-GRID;

ECHO STATE NETWORKS; ELECTRICITY PRICES; POWER GENERATION FROM RENEWABLE; PREDICTIVE MODELS; PREDICTIVE PERFORMANCE; SMART GRID; SMART GRID APPLICATIONS; TIME SERIES PREDICTION;

ELECTRIC POWER TRANSMISSION NETWORKS;

ADAPTATION; ANALYTIC METHOD; ARTICLE; ARTIFICIAL NEURAL NETWORK; CONCEPTUAL FRAMEWORK; ECHO STATE NETWORK; ELECTRICITY; ENERGY CONSERVATION; ENERGY YIELD; FILTER; FORECASTING; HOUSEHOLD; KALMAN FILTER; MARKETING; PERCEPTRON; PREDICTION; PRIORITY JOURNAL; SUPPORT VECTOR MACHINE;

EID: 84940614995     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2015.02.089     Document Type: Article

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