Assembly Bill 2127 Second Electric Vehicle Charging Infrastructure Assessment

Assembly Bill 2127 Second Electric Vehicle Charging Infrastructure Assessment PDF Author: Adam Davis
Publisher:
ISBN:
Category : Battery charging stations (Electric vehicles)
Languages : en
Pages : 0

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Assembly Bill 2127 Second Electric Vehicle Charging Infrastructure Assessment

Assembly Bill 2127 Second Electric Vehicle Charging Infrastructure Assessment PDF Author: Adam Davis
Publisher:
ISBN:
Category : Battery charging stations (Electric vehicles)
Languages : en
Pages : 0

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Book Description


Electric Vehicle Infrastructure Projection Tool (EVI-Pro).

Electric Vehicle Infrastructure Projection Tool (EVI-Pro). PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description
This presentation includes results from the second California installment of EVI-Pro. Pursuant to California Assembly Bill 2127, evolving market and technology conditions warrant updating this statewide infrastructure assessment at least every two years. EVI-Pro has been updated to consider California's 2030 goal to have 5 million zero emission vehicles (ZEVs) on the road by 2030. CEC and NREL with the support of UC Davis and other state agencies, have set out to refine EVI-Pro to reflect increasing PEV market share, evolving vehicle and charging technology, and observed charging behavior.

Integrated Energy Policy Report ... Update

Integrated Energy Policy Report ... Update PDF Author: California Energy Commission. Integrated Energy Policy Report Committee
Publisher:
ISBN:
Category : Energy conservation
Languages : en
Pages : 264

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Transitions to Alternative Vehicles and Fuels

Transitions to Alternative Vehicles and Fuels PDF Author: National Research Council
Publisher: National Academies Press
ISBN: 0309268524
Category : Science
Languages : en
Pages : 395

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Book Description
For a century, almost all light-duty vehicles (LDVs) have been powered by internal combustion engines operating on petroleum fuels. Energy security concerns about petroleum imports and the effect of greenhouse gas (GHG) emissions on global climate are driving interest in alternatives. Transitions to Alternative Vehicles and Fuels assesses the potential for reducing petroleum consumption and GHG emissions by 80 percent across the U.S. LDV fleet by 2050, relative to 2005. This report examines the current capability and estimated future performance and costs for each vehicle type and non-petroleum-based fuel technology as options that could significantly contribute to these goals. By analyzing scenarios that combine various fuel and vehicle pathways, the report also identifies barriers to implementation of these technologies and suggests policies to achieve the desired reductions. Several scenarios are promising, but strong, and effective policies such as research and development, subsidies, energy taxes, or regulations will be necessary to overcome barriers, such as cost and consumer choice.

Electric Vehicles for Smart Cities

Electric Vehicles for Smart Cities PDF Author: Evanthia Nanaki
Publisher: Elsevier
ISBN: 0128158026
Category : Law
Languages : en
Pages : 260

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Book Description
Electric Vehicles for Smart Cities: Trends, Challenges, and Opportunities uniquely examines different approaches to electric vehicle deployment in the context of smart cities. It provides a holistic picture of electromobility within urban areas, offering an integrated approach to city transportation systems by considering the energy systems, latest vehicle technologies, and transport infrastructure. Electric Vehicles for Smart Cities addresses the interaction between grid infrastructure, vehicles, costs and benefits, and operational reliability within an integrated framework. The book examines the role electric vehicles play in the social and political aspects of climate change mitigation, as well as a renewable energy-based economy. It explains how electric vehicles and their system requirements work, including recharging techniques and infrastructures, and discusses alternative market deployment approaches. Includes case studies from cities around the world, including Amsterdam, London, Oslo, Barcelona, Los Angeles, New York, Silicon Valley, Los Angeles, Beijing, Shanghai, Tianjin, Tokyo, and Goto Islands Traces the developments, innovations, advantages, and disadvantages in the electric car industry Provides learning aids such as discussion questions and text boxes

Transportation Energy Data Book

Transportation Energy Data Book PDF Author:
Publisher:
ISBN:
Category : Energy conservation
Languages : en
Pages : 340

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House Practice

House Practice PDF Author: William Holmes Brown
Publisher:
ISBN:
Category : Political Science
Languages : en
Pages : 1036

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Senate Joint Resolutions

Senate Joint Resolutions PDF Author: Ohio. General Assembly. Senate
Publisher:
ISBN:
Category : Legislation
Languages : en
Pages : 114

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Act. V.

Act. V. PDF Author: United States. Bureau of Public Roads
Publisher:
ISBN:
Category : Automobiles
Languages : en
Pages : 76

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Mixture Model-Based Classification

Mixture Model-Based Classification PDF Author: Paul D. McNicholas
Publisher: CRC Press
ISBN: 1482225670
Category : Mathematics
Languages : en
Pages : 212

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Book Description
"This is a great overview of the field of model-based clustering and classification by one of its leading developers. McNicholas provides a resource that I am certain will be used by researchers in statistics and related disciplines for quite some time. The discussion of mixtures with heavy tails and asymmetric distributions will place this text as the authoritative, modern reference in the mixture modeling literature." (Douglas Steinley, University of Missouri) Mixture Model-Based Classification is the first monograph devoted to mixture model-based approaches to clustering and classification. This is both a book for established researchers and newcomers to the field. A history of mixture models as a tool for classification is provided and Gaussian mixtures are considered extensively, including mixtures of factor analyzers and other approaches for high-dimensional data. Non-Gaussian mixtures are considered, from mixtures with components that parameterize skewness and/or concentration, right up to mixtures of multiple scaled distributions. Several other important topics are considered, including mixture approaches for clustering and classification of longitudinal data as well as discussion about how to define a cluster Paul D. McNicholas is the Canada Research Chair in Computational Statistics at McMaster University, where he is a Professor in the Department of Mathematics and Statistics. His research focuses on the use of mixture model-based approaches for classification, with particular attention to clustering applications, and he has published extensively within the field. He is an associate editor for several journals and has served as a guest editor for a number of special issues on mixture models.