Development of improved adaptive approaches to electricity demand forecasting-Reference-Cited by-同舟云学术

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Development of improved adaptive approaches to electricity demand forecasting

Published:2008-08 Issue:8 Volume:59 Page:1066-1076
ISSN:0160-5682
Container-title:Journal of the Operational Research Society
language:en
Short-container-title:Journal of the Operational Research Society

Author:

Pedregal D J¹,Young P C²

Affiliation:

1. Universidad de Castilla-La Mancha Ciudad Real Spain

2. Lancaster University Lancaster UK

Publisher

Informa UK Limited

Subject

Marketing,Management Science and Operations Research,Strategy and Management,Management Information Systems

Link

http://link.springer.com/content/pdf/10.1057/palgrave.jors.2602447.pdf

Reference30 articles.

1. A Systems Engineering Methodology for Structuring and Calibrating Lake Ecosystem Models

2. Influence of artificial neural network structure on quality of short-term electric energy consumption forecast

3. Forecasting daily urban electric load profiles using artificial neural networks

4. Radial Basis Functions

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3. Short-term forecast model of cooling load using load component disaggregation;Applied Thermal Engineering;2019-07

4. A review of the decomposition methodology for extracting and identifying the fluctuation characteristics in electricity demand forecasting;Renewable and Sustainable Energy Reviews;2017-08

5. A Small-Sample Adaptive Hybrid Model for Annual Electricity Consumption Forecasting;Mathematical Problems in Engineering;2017

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