(PDF) Forecasting Recharging Demand to Integrate Electric

Forecasting Recharging Demand to Integrate Electric Vehicle Fleets in Smart Grids

doi 10.5772/intechopen.88488

Full Text

Abstract

Available in full text

Date

November 27, 2019

Authors

Juan Ignacio Guerrero Alonso

Enrique Personal

Sebastián García

Antonio García

Publisher

IntechOpen

Related search

Web Management of Electric Vehicle Fleets

World Electric Vehicle Journal

Automotive Engineering

English

Demand Side Management Technique to Optimally Schedule Electric Vehicle Loads in Smart Grid

International Journal of Recent Technology and Engineering

Management of Technology

English

Optimal Recharging Framework and Simulation for Electric Vehicle Fleet

Future Generation Computer Systems

Computer Networks

English

Solar Power Forecasting in Smart Grids Using Distributed Information

English

Demand Response Analysis in Smart Grids Using Fuzzy Clustering Model

IFIP Advances in Information and Communication Technology

Computer Networks

Information Systems

English

Investigating the Potential to Influence the Electric Vehicle Users’ Recharging Behaviour to Reduce Well to Wheel Carbon Emissions

World Electric Vehicle Journal

Automotive Engineering

English

Computational Models Development and Demand Response Application for Smart Grids

IFIP Advances in Information and Communication Technology

Computer Networks

Information Systems

English

Vehicle to Electric Vehicle Supply Equipment Smart Grid Communications Interface Research and Testing Report

English