Residential Power Load Forecasting

Procedia Computer Science 28 ( 2014 ) 457 – 464

Available online at www.sciencedirect.com

1877-0509 © 2014 The Authors. Published by Elsevier B.V.Selection and peer-review under responsibility of the University of Southern California.doi: 10.1016/j.procs.2014.03.056

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© 2014 The Authors. Published by Elsevier B.V.Selection and peer-review under responsibility of the University of Southern California.

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458 Patrick Day et al. / Procedia Computer Science 28 ( 2014 ) 457 – 464

1.1. System characterization

Patrick Day et al. / Procedia Computer Science 28 ( 2014 ) 457 – 464 459

2.1. Energy forecasting

2.2. Cognition systems engineering


4.1 Fuzzy Logic

4.2Time series moving average

4.1.3 Artificial neural networks


5.1. Architecture goals

5.2. Task analysis

5.3. System inputs

5.4. System outputs

5.5. System constraints




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Residential Power Load Forecasting