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Optimal multi-service business models for electric vehicles

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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.apenergy.2015.07.070openalex-snapshot
Value of flexible electric vehicles in providing spinning reserve services
inferredcites →https://doi.org/10.1016/j.enpol.2008.09.030openalex-snapshot
Demand side management: Benefits and challenges
inferredcites →https://doi.org/10.1016/j.jpowsour.2004.12.025openalex-snapshot
Vehicle-to-grid power fundamentals: Calculating capacity and net revenue
inferredcites →https://doi.org/10.1016/j.jpowsour.2007.03.010openalex-snapshot
Using fleets of electric-drive vehicles for grid support
inferredcites →https://doi.org/10.1049/cp:20060160openalex-snapshot
Grid power quality improvements using grid-coupled hybrid electric vehicles PEMD 2006
inferredcites →https://doi.org/10.1109/energycon.2016.7513945openalex-snapshot
Synergies and conflicts among energy storage services
inferredcites →https://doi.org/10.1109/epec.2015.7379925openalex-snapshot
Optimal scheduling algorithm for charging electric vehicle in a residential sector under demand response
inferredcites →https://doi.org/10.1109/jproc.2010.2066250openalex-snapshot
Integration of Electric Vehicles in the Electric Power System
inferredcites →https://doi.org/10.1109/tsg.2010.2045163openalex-snapshot
Development of an Optimal Vehicle-to-Grid Aggregator for Frequency Regulation
inferredcites →https://doi.org/10.1109/tsg.2011.2163174openalex-snapshot
Load Scheduling and Dispatch for Aggregators of Plug-In Electric Vehicles
inferredcites →https://doi.org/10.1109/tsg.2011.2164099openalex-snapshot
Optimal Scheduling of Vehicle-to-Grid Energy and Ancillary Services
inferredcites →https://doi.org/10.1109/tsg.2011.2164583openalex-snapshot
Demand Response as a Load Shaping Tool in an Intelligent Grid With Electric Vehicles
inferredcites →https://doi.org/10.4271/2015-01-0304openalex-snapshot
Quantifying the Flexibility for Electric Vehicles to Offer Demand Response to Reduce Grid Impacts without Compromising Individual Driver Mobility Needs

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.3931671openalex-extracted
inferred← citeshttps://doi.org/10.1016/j.apenergy.2019.114214openalex-snapshot
The case for Bi-directional charging of electric vehicles in low voltage distribution networks
inferred← citeshttps://doi.org/10.1016/j.energy.2022.123400openalex-snapshot
On the Characterization and Evaluation of Residential On-Site E-Car-Sharing
inferred← citeshttps://doi.org/10.1109/eem54602.2022.9921004openalex-snapshot
Investments and Governance Models for Renewable Energy Communities
inferred← citeshttps://doi.org/10.1109/ever48776.2020.9242538openalex-snapshot
Optimal Business Case for Provision of Grid Services through EVs with V2G Capabilities
inferred← citeshttps://doi.org/10.1109/ever48776.2020.9243032openalex-snapshot
Whole-system Benefits of Vehicle-to-Grid Services from Electric Vehicle Fleets
inferred← citeshttps://doi.org/10.3390/en12071384openalex-snapshot
Optimal Bidding/Offering Strategy for EV Aggregators under a Novel Business Model
inferred← citeshttps://doi.org/10.3390/en16248112openalex-snapshot
Smart Decentralized Electric Vehicle Aggregators for Optimal Dispatch Technologies
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