Mesoscopic forecasting of vehicular consumption using neural networks
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| 008 | 210128e20150101xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s00500-014-1238-4 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s00500-014-1238-4 | ||
| 245 | 0 | 0 | |a Mesoscopic forecasting of vehicular consumption using neural networks |h [Elektronische Daten] |c [Michail Masikos, Konstantinos Demestichas, Evgenia Adamopoulou, Michael Theologou] |
| 520 | 3 | |a Accurate forecasting of vehicular consumption is a task of primary importance for several applications. Herein, a vehicular consumption prediction model is proposed, with special emphasis on robustness and reliability. Both features are enabled due to the selection of general regression neural networks (GRNNs) for the implementation of the proposed model. GRNNs are widely used among neural networks because of their capabilities for fast learning and successful convergence to the solution. In particular, the designed GRNN is responsible for approximating the nonlinearities and the specificities between the factors identified as major contributors in vehicular consumption. In order to evaluate its efficiency, a case study involving the application of the introduced model in fully electric vehicles (FEVs) is examined. The performance of the proposed model is successfully validated using real measurements collected during a data acquisition field campaign. | |
| 540 | |a Springer-Verlag Berlin Heidelberg, 2014 | ||
| 690 | 7 | |a Energy-efficient routing |2 nationallicence | |
| 690 | 7 | |a Mesoscopic consumption model |2 nationallicence | |
| 690 | 7 | |a Context-aware prediction |2 nationallicence | |
| 690 | 7 | |a FEV |2 nationallicence | |
| 700 | 1 | |a Masikos |D Michail |u School of Electrical and Computer Engineering, National Technical University of Athens, 15780, Zografou, Greece |4 aut | |
| 700 | 1 | |a Demestichas |D Konstantinos |u School of Electrical and Computer Engineering, National Technical University of Athens, 15780, Zografou, Greece |4 aut | |
| 700 | 1 | |a Adamopoulou |D Evgenia |u School of Electrical and Computer Engineering, National Technical University of Athens, 15780, Zografou, Greece |4 aut | |
| 700 | 1 | |a Theologou |D Michael |u School of Electrical and Computer Engineering, National Technical University of Athens, 15780, Zografou, Greece |4 aut | |
| 773 | 0 | |t Soft Computing |d Springer Berlin Heidelberg |g 19/1(2015-01-01), 145-156 |x 1432-7643 |q 19:1<145 |1 2015 |2 19 |o 500 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s00500-014-1238-4 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s00500-014-1238-4 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Masikos |D Michail |u School of Electrical and Computer Engineering, National Technical University of Athens, 15780, Zografou, Greece |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Demestichas |D Konstantinos |u School of Electrical and Computer Engineering, National Technical University of Athens, 15780, Zografou, Greece |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Adamopoulou |D Evgenia |u School of Electrical and Computer Engineering, National Technical University of Athens, 15780, Zografou, Greece |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Theologou |D Michael |u School of Electrical and Computer Engineering, National Technical University of Athens, 15780, Zografou, Greece |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Soft Computing |d Springer Berlin Heidelberg |g 19/1(2015-01-01), 145-156 |x 1432-7643 |q 19:1<145 |1 2015 |2 19 |o 500 | ||