On the public citation graph
Loss Allocation in Distribution Networks Based on Aumann–Shapley
0 signed · 78 inferred · view as graph
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.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-4757-2883-5openalex-snapshot
Power Systems Restructuring
inferredcites →https://doi.org/10.1016/j.enpol.2009.07.051openalex-snapshot
A comprehensive approach for computation and implementation of efficient electricity transmission network charges
inferredcites →https://doi.org/10.1016/j.epsr.2007.02.008openalex-snapshot
A cooperative game theory analysis for transmission loss allocation
inferredcites →https://doi.org/10.1016/j.epsr.2016.07.012openalex-snapshot
Coordinated two-stage volt/var management in distribution networks
inferredcites →https://doi.org/10.1016/j.epsr.2016.10.032openalex-snapshot
Novel approach for loss allocation of distribution networks with DGs
inferredcites →https://doi.org/10.1016/j.ijepes.2011.10.030openalex-snapshot
An exact method for loss allocation in radial distribution systems
inferredcites →https://doi.org/10.1049/iet-gtd.2014.0923openalex-snapshot
Loss allocation in distribution network with distributed generations
inferredcites →https://doi.org/10.1049/iet-gtd.2015.0597openalex-snapshot
Efficient algorithm for transmission system energy loss allocation considering multilateral contracts and load variation
inferredcites →https://doi.org/10.1049/ip-gtd:20000003openalex-snapshot
Allocation of losses in distribution systems with embedded generation
inferredcites →https://doi.org/10.1049/ip-gtd:20020126openalex-snapshot
Succinct method for allocation of network losses
inferredcites →https://doi.org/10.1049/ip-gtd:20041192openalex-snapshot
Transmission loss allocation through a modified Ybus
inferredcites →https://doi.org/10.1109/59.780946openalex-snapshot
Coalition formation in transmission expansion planning
inferredcites →https://doi.org/10.1109/59.852119openalex-snapshot
Fair allocation of transmission power losses
inferredcites →https://doi.org/10.1109/61.25627openalex-snapshot
Network reconfiguration in distribution systems for loss reduction and load balancing
inferredcites →https://doi.org/10.1109/mper.1989.4310642openalex-snapshot
Network Reconfiguration in Distribution Systems for Loss Reduction and Load Balancing
inferredcites →https://doi.org/10.1109/tpwrd.2007.905370openalex-snapshot
Impact of Network Reconfiguration on Loss Allocation of Radial Distribution Systems
inferredcites →https://doi.org/10.1109/tpwrs.2002.800894openalex-snapshot
Transmission loss allocation: a comparison of different practical algorithms
inferredcites →https://doi.org/10.1109/tpwrs.2006.876684openalex-snapshot
Branch current decomposition method for loss allocation in radial distribution systems with distributed generation
inferredcites →https://doi.org/10.1109/tpwrs.2007.907133openalex-snapshot
An Aumann-Shapley Approach to Allocate Transmission Service Cost Among Network Users in Electricity Markets
inferredcites →https://doi.org/10.1109/tpwrs.2007.907586openalex-snapshot
Transmission Loss Allocation Through Complex Power Flow Tracing
inferredcites →https://doi.org/10.1109/tpwrs.2010.2044425openalex-snapshot
Complex Losses Allocation to Generators and Loads Based on Circuit Theory and Aumann-Shapley Method
inferredcites →https://doi.org/10.1109/tpwrs.2013.2278296openalex-snapshot
Transmission Network Cost Allocation Based on Circuit Theory and the Aumann-Shapley Method
inferredcites →https://doi.org/10.1109/tpwrs.2016.2571980openalex-snapshot
Loss Allocation for Weakly Meshed Distribution System using Analytical Formulation of Shapley Value
inferredcites →https://doi.org/10.3390/en10040455openalex-snapshot
A New Method for Distribution Network Reconfiguration Analysis under Different Load Demands
inferredcites →https://doi.org/10.3390/en10091342openalex-snapshot
Evaluation of Demand-Side Management over Pricing Competition of Multiple Suppliers Having Heterogeneous Energy Sources
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.4661135openalex-extracted
Min-Min Distribution Tariff Allocation for a Demand Response Program Based on Active and Reactive Distribution Factors
inferred← citeshttps://doi.org/10.2139/ssrn.4821172openalex-extracted
A Novel Loss Allocation Method Applicable for Power Grids with Various Distributed Energy Resources
inferred← citeshttps://doi.org/10.1002/9781119786306.ch12openalex-snapshot
Energy Loss Allocation in Distribution Systems with Distributed Generations
inferred← citeshttps://doi.org/10.1007/978-3-031-90466-0_9openalex-snapshot
Analysis of the Market Aspects in the Reform of District Heating Systems Under Wartime and Post-war Recovery Conditions
inferred← citeshttps://doi.org/10.1007/s00202-024-02672-6openalex-snapshot
Loss allocation in distribution systems considering system power factor and local generators
inferred← citeshttps://doi.org/10.1007/s00202-024-02678-0openalex-snapshot
Analytical approach for allocation of energy losses in active distribution system using the method of energy summation
inferred← citeshttps://doi.org/10.1016/j.apenergy.2022.119039openalex-snapshot
Sharing congestion management costs among system operators using the Shapley value
inferred← citeshttps://doi.org/10.1016/j.apenergy.2022.120328openalex-snapshot
Efficient methods for approximating the Shapley value for asset sharing in energy communities
inferred← citeshttps://doi.org/10.1016/j.apenergy.2026.128602openalex-snapshot
Bi-timescale distributionally robust optimization for power-computing-carbon coordination in multi-microgrids with data centers
inferred← citeshttps://doi.org/10.1016/j.energy.2025.134388openalex-snapshot
Low-carbon planning for integrated power-gas-hydrogen system with Wasserstein-distance based scenario generation method
inferred← citeshttps://doi.org/10.1016/j.epsr.2020.106966openalex-snapshot
Reactive power allocation through the modified Z-bus and Aumann-Shapley method
inferred← citeshttps://doi.org/10.1016/j.epsr.2024.110966openalex-snapshot
Loss allocation methods in distribution networks: Present status and challenges
inferred← citeshttps://doi.org/10.1016/j.epsr.2025.112521openalex-snapshot
Bi-level integration of DSO with prosumers and parking lots under risk-based upper market involvement
inferred← citeshttps://doi.org/10.1016/j.epsr.2026.113306openalex-snapshot
Optimal firm-energy allocation of hydro-wind-solar complementary energy system: A multi-stage asymmetric nash bargaining approach
inferred← citeshttps://doi.org/10.1016/j.est.2023.107943openalex-snapshot
Nodal pricing of renewable-oriented distribution network in the presence of EV charging stations: A hybrid robust/stochastic optimization
inferred← citeshttps://doi.org/10.1016/j.ijepes.2020.106054openalex-snapshot
Deep Learning loss model for large-scale low voltage smart grids
inferred← citeshttps://doi.org/10.1016/j.ijepes.2023.109203openalex-snapshot
Optimization method for short circuit current reduction in extensive meshed LV network
inferred← citeshttps://doi.org/10.1016/j.ijepes.2024.110436openalex-snapshot
An arbitrary segmentation method for loss allocation in power grids with distributed generation
inferred← citeshttps://doi.org/10.1016/j.ijepes.2025.110740openalex-snapshot
A generalized superposition-based method for loss allocation in active distribution networks: Introducing effective current concept
inferred← citeshttps://doi.org/10.1016/j.measurement.2020.108794openalex-snapshot
Random fully connected layered 1D CNN for solving the Z-bus loss allocation problem
inferred← citeshttps://doi.org/10.1016/j.scs.2021.102962openalex-snapshot
Enhancing stochastic multi-microgrid operational flexibility with mobile energy storage system and power transaction
inferred← citeshttps://doi.org/10.1016/j.segan.2022.100934openalex-snapshot
Grid-aware pricing scheme in future distribution systems based on real-time power tracing and bi-level optimization
inferred← citeshttps://doi.org/10.1049/gtd2.13054openalex-snapshot
Decomposition of unbalanced operation incremented active power loss in distribution network
inferred← citeshttps://doi.org/10.1088/1742-6596/2741/1/012069openalex-snapshot
Study of distribution network loss allocation with high photovoltaic penetration ratio
inferred← citeshttps://doi.org/10.1088/1742-6596/2803/1/012007openalex-snapshot
The responsibility allocation method for overvoltage problem in distribution network with large-scale distributed photovoltaics integration based on the improved Shapley value
inferred← citeshttps://doi.org/10.1109/access.2023.3248262openalex-snapshot
Investigating Impacts of CVR and Demand Response Operations on a Bi-Level Market-Clearing With a Dynamic Nodal Pricing
inferred← citeshttps://doi.org/10.1109/appeec61255.2024.10922451openalex-snapshot
Game Theoretic-Based Firm-Energy Allocation Strategy of Wind-Solar-Hydro Energy System
inferred← citeshttps://doi.org/10.1109/cpeee64598.2025.10987276openalex-snapshot
An Aumann-Shapley Approach to Allocate Capacity Deferral Benefit Among Distributed Energy Resources
inferred← citeshttps://doi.org/10.1109/iceemt63201.2024.10692806openalex-snapshot
Apportionment of overvoltage responsibility for distributed photovoltaic distribution network based on improved Raiffa solution method
inferred← citeshttps://doi.org/10.1109/isgtmiddleeast56437.2023.10078444openalex-snapshot
Autonomous Peer-to-Peer Energy Trading in Networked Microgrids: A Distributed Deep Reinforcement Learning Approach
inferred← citeshttps://doi.org/10.1109/jsen.2024.3357891openalex-snapshot
Cooperative Game Theoretic Power Allocation Method to Distributed MIMO Radar Sensor Network for Multitarget Detection in Low-Altitude
inferred← citeshttps://doi.org/10.1109/jsyst.2020.2986686openalex-snapshot
Extended Kalman Filter-Based Approach for Nodal Pricing in Active Distribution Networks
inferred← citeshttps://doi.org/10.1109/npsc57038.2022.10069651openalex-snapshot
Cross Subsidy in Loss Allocation in Power Distribution Network Based on Game Theory Approach
inferred← citeshttps://doi.org/10.1109/pesgm41954.2020.9281770openalex-snapshot
A Distribution System Loss Allocation Approach based on a Modified DistFlow Model
inferred← citeshttps://doi.org/10.1109/powertech46648.2021.9494836openalex-snapshot
Allocation of Feeder Usage, Losses and Peak Load in Distribution Systems with DG Using Shapley Value
inferred← citeshttps://doi.org/10.1109/sefet61574.2024.10718001openalex-snapshot
Impact of Distributed Generations on Loss Allocation in Grid-connected and Grid-isolated Distribution Systems
inferred← citeshttps://doi.org/10.1109/tempr.2023.3281392openalex-snapshot
DG Locational Value in Distribution Systems Considering Reliability via Cooperative Game Theory
inferred← citeshttps://doi.org/10.1109/tempr.2024.3384833openalex-snapshot
A Fair and Self-Sufficient Value Stack-Based Compensation Scheme for DERs Enhancing Network Performance
inferred← citeshttps://doi.org/10.1109/tia.2021.3088769openalex-snapshot
A Demand Response Trade Model Considering Cost and Benefit Allocation Game and Hydrogen to Electricity Conversion
inferred← citeshttps://doi.org/10.1109/tia.2024.3515005openalex-snapshot
A Game Theory Based Approach to Investigate Cross-Subsidy in Loss Allocation in Power Distribution Network
inferred← citeshttps://doi.org/10.1109/tpwrd.2021.3099207openalex-snapshot
$\tau$-Value Based Approach for Loss Allocation in Radial and Weakly Meshed Distribution Networks With Distributed Generation
inferred← citeshttps://doi.org/10.1109/tpwrs.2023.3325532openalex-snapshot
Loss Allocation in Three-Phase Distribution Network Using $\tau$-Value
inferred← citeshttps://doi.org/10.1155/2022/8562670openalex-snapshot
Cross-Regional Transaction Path Configuration of Renewable Energy Resources by Graph Theory-Based Transmission Cost Allocation Method
inferred← citeshttps://doi.org/10.11591/ijpeds.v12.i1.pp130-138openalex-snapshot
Allocating active power loss with network reconfiguration in electrical power distribution systems
inferred← citeshttps://doi.org/10.17771/pucrio.acad.57299openalex-snapshot
VALORAÇÃO LOCACIONAL DA GERAÇÃO DISTRIBUÍDA EM SISTEMAS DE DISTRIBUIÇÃO VIA TEORIA DE JOGOS COOPERATIVOS
inferred← citeshttps://doi.org/10.2139/ssrn.7411984openalex-snapshot
Residual-free AC flow decomposition for cross-border cost sharing: removing the proportional reconciliation step of the Core Power Flow Colouring methodology
inferred← citeshttps://doi.org/10.32657/10356/139944openalex-snapshot
Blockchain for peer-to-peer energy trading
inferred← citeshttps://doi.org/10.3389/fenrg.2023.1129846openalex-snapshot
Weighted shapley value: A cooperative game theory for loss allocation in distribution systems
inferred← citeshttps://doi.org/10.3390/s20082187openalex-snapshot
Smart Sensors for Smart Grid Reliability
inferred← citeshttps://doi.org/10.35833/mpce.2022.000355openalex-snapshot
Allocating Ex-post Deviation Cost of Virtual Power Plants in Distribution Networks
inferred← citeshttps://doi.org/10.48550/arxiv.2007.04289openalex-snapshot
A Quadratic Convex Approximation of Optimal Power Flow in Distribution System with Application in Loss Allocation
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.