Short-term load forecast using trend information and process reconstruction

International Journal of Energy Research

Volumn 30, Issue 10, 2006, Pages 811-822

  Santos, P J ^a   Martins, A G ^b   Pires, A J ^a   Martins, J F ^a   Mendes, R Vilela ^c  

^a INSTITUTO POLITÉCNICO DE SETÚBAL   (Portugal)

^b UNIVERSITY OF COIMBRA   (Portugal)

^c INSTITUTO SUPERIOR TÉCNICO   (Portugal)

Author keywords

Artificial neural networks; Consumption trend; Distribution systems; Load forecasting; Measure; Memory range

Indexed keywords

ALGORITHMS; ELECTRIC INDUSTRY; ELECTRIC LOAD FORECASTING; ENERGY UTILIZATION; MATHEMATICAL MODELS; NEURAL NETWORKS; RANDOM PROCESSES;

CONSUMPTION TREND; DISTRIBUTION SYSTEMS; PROCESS RECONSTRUCTION; SHORT-TERM LOAD FOREASTING; TREND INFORMATION;

ELECTRIC POWER SYSTEMS;

ALGORITHMS; ELECTRIC INDUSTRY; ELECTRIC LOAD FORECASTING; ELECTRIC POWER SYSTEMS; ENERGY UTILIZATION; MATHEMATICAL MODELS; NEURAL NETWORKS; RANDOM PROCESSES;

EID: 33746803244     PISSN: 0363907X     EISSN: 1099114X     Source Type: Journal    
DOI: 10.1002/er.1187     Document Type: Article

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