A New Approach for Modeling of Residential Energy Consumption: A National Neural Network Model for Residential End-use Energy Consumption - Couverture souple

Aydinalp Koksal, Merih

 
9783639019728: A New Approach for Modeling of Residential Energy Consumption: A National Neural Network Model for Residential End-use Energy Consumption
Couverture souple
ISBN 10 : 3639019725 ISBN 13 : 9783639019728
Editeur : VDM Verlag Dr. Müller, 2008

Synopsis

Energy use and associated greenhouse gas emissions, and their potential effects on the global climate change have been the worldwide concern particularly after the Kyoto Protocol. Improving the energy efficiency is one of the most effective ways to reduce energy use and associated emissions, especially for the residential sector. Since energy efficiency improvements have complex interrelated effects on the household energy use, detailed mathematical models are required to evaluate their effects on residential energy use. This book investigates the use of Neural Network (NN) approach for modeling residential end-use energy consumption at the national level. In addition to the NN model, a statistical residential end-use model is also developed. A comparison of the estimates of the NN model with those of the statistical and an engineering model developed earlier using the same database shows that the NN model has a higher prediction performance and ability to characterize the residential end-use energy consumption than other models. The NN Model is able to estimate the impact of socio-economic factors and energy saving measures on residential end-use energy consumption successfully.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Energy use and associated greenhouse gas emissions, and their potential effects on the global climate change have been the worldwide concern particularly after the Kyoto Protocol. Improving the energy efficiency is one of the most effective ways to reduce energy use and associated emissions, especially for the residential sector. Since energy efficiency improvements have complex interrelated effects on the household energy use, detailed mathematical models are required to evaluate their effects on residential energy use. This book investigates the use of Neural Network (NN) approach for modeling residential end-use energy consumption at the national level. In addition to the NN model, a statistical residential end-use model is also developed. A comparison of the estimates of the NN model with those of the statistical and an engineering model developed earlier using the same database shows that the NN model has a higher prediction performance and ability to characterize the residential end-use energy consumption than other models. The NN Model is able to estimate the impact of socio-economic factors and energy saving measures on residential end-use energy consumption successfully.

Biographie de l'auteur

Dr. Merih Aydinalp Koksal is a faculty member at the Environmental Engineering Department of Hacettepe University, Ankara, Turkey. She holds a BSc in Environmental Engineering and a MSc in Mechanical Engineering from Marmara University, Istanbul, Turkey, and a PhD in Mechanical Engineering from Dalhousie University, Halifax, N.S., Canada.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
VDM Verlag Dr. Müller
Date d'édition
2008
Langue
anglais
ISBN 10 
3639019725
ISBN 13 
9783639019728
Reliure
Broché
Nombre de pages
240
Coordonnées du fabricant
non disponible
Personne responsable
non disponible