1.

Record Nr.

UNINA9910299606503321

Titolo

Electric Vehicle Business Models : Global Perspectives / / edited by David Beeton, Gereon Meyer

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015

ISBN

3-319-12244-4

Edizione

[1st ed. 2015.]

Descrizione fisica

1 online resource (266 p.)

Collana

Lecture Notes in Mobility, , 2196-5544

Disciplina

333.79

338926

388

621.042

Soggetti

Transportation

Management

Industrial management

Automotive engineering

Energy policy

Innovation/Technology Management

Automotive Engineering

Energy Policy, Economics and Management

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references at the end of each chapters.

Nota di contenuto

EV business models in a wider context: balancing change and continuity in the automotive industry -- Four business models for a fast commercialization of plug-in cars -- Electrification of the Powertrain in Automotive Applications: "Technology Push" or "Market Pull"? -- Identification of market models and associated billing strategies for the provision of EV charging services -- Business Case for EV charging on the Motorway Network in Denmark -- Pricing Plug-in Electric Vehicle Recharging in Multi-Unit Dwellings: Financial Viability and Fueling Costs -- Solutions and Business Models for Wireless Charging of Electric Vehicles -- Electric Vehicles as Grid Support -- Energy Efficiency in Electric and Plug-in Hybrid Electric Vehicles and its Impact on Total Cost of Ownership.



Sommario/riassunto

This contributed volume collects insights from industry professionals, policy makers and researchers on new and profitable business models in the field of electric vehicles (EV) for the mass market. This book includes approaches that address the optimization of total cost of ownership. Moreover, it presents alternative models of ownership, financing and leasing. The editors present state-of-the-art insights from international experts, including real-world case studies. The volume has been edited in the framework of the International Energy Agency’s Implementing Agreement for Cooperation on Hybrid and Electric Vehicles (IA-HEV). The target audience primarily comprises practitioners and decision makers but the book may also be beneficial for research experts and graduate students. .

2.

Record Nr.

UNINA9910698653203321

Titolo

Database Systems for Advanced Applications : 28th International Conference, DASFAA 2023, Tianjin, China, April 17–20, 2023, Proceedings, Part III / / edited by Xin Wang, Maria Luisa Sapino, Wook-Shin Han, Amr El Abbadi, Gill Dobbie, Zhiyong Feng, Yingxiao Shao, Hongzhi Yin

Pubbl/distr/stampa

Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023

ISBN

9783031306754

3031306759

Edizione

[1st ed. 2023.]

Descrizione fisica

1 online resource (XXVI, 756 p. 222 illus., 176 illus. in color.)

Collana

Lecture Notes in Computer Science, , 1611-3349 ; ; 13945

Disciplina

005.74

Soggetti

Machine learning

Data structures (Computer science)

Information theory

Computers

Social sciences - Data processing

Computer science - Mathematics

Database management

Machine Learning

Data Structures and Information Theory

Computing Milieux

Computer Application in Social and Behavioral Sciences

Mathematics of Computing

Database Management System

Gestió de bases de dades

Bases de dades



Congressos

Llibres electrònics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Includes index.

Nota di contenuto

Query Processing -- Data Management -- Graph and Network -- Knowledge Graph -- Recommendation -- Privacy computing -- Text Processing -- Information Retrieval -- Systems and Optimization -- Spatial Data -- Time Series Data -- Applications of Machine learning.

Sommario/riassunto

The four-volume set LNCS 13943, 13944, 13945 and 13946 constitutes the proceedings of the 28th International Conference on Database Systems for Advanced Applications, DASFAA 2023, held in April 2023 in Tianjin, China. The total of 125 full papers, along with 66 short papers, are presented together in this four-volume set was carefully reviewed and selected from 652 submissions. Additionally, 15 industrial papers, 15 demo papers and 4 PhD consortium papers are included. The conference presents papers on subjects such as model, graph, learning, performance, knowledge, time, recommendation, representation, attention, prediction, and network.