Applications of UNI Variate Time Series Models and Neural Networks

Language: English

Published by LAP LAMBERT Academic Publishing Mrz 2020, 2020

620056857X / 9786200568571

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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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This item is printed on demand - it takes 3-4 days longer - Neuware -Forecasting of daily and monthly electricity load using Box-Jenkins methodology and feed forward neural networks is discussed. This study investigates application of neural networks models and the results of neural networks determination be compared with those obtained by Box-Jenkins method. The performances were compared based on three measures: mean absolute error (MAE), mean absolute percentage error (MAPE), and root mean square error (RMSE). The Final conclusion of this book is Feed-Forward neural networks models are better and superior than Box-Jenkins models. 140 pp. Englisch.

Seller Inventory # 9786200568571

Title
Applications of UNI Variate Time Series Models and Neural Networks
Author
Ramakrishna Ravi
Publisher
LAP LAMBERT Academic Publishing Mrz 2020
Publication year
2020
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
620056857X
ISBN 13
9786200568571
Item weight
227 grams
Dimensions
220x150x9 mm

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

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BuchWeltWeit Ludwig Meier e.K.

Germany