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Paper Citation Record · LEDGER

Sustainable and Efficient Renewable-Driven Energy Trading via Neural-Enhanced Time-Adaptive Robust Nash Bargaining between Hydrogen-Enriched Gas and Active Distribution Networks

As of 6 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2310.05999.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2310.05999 v3

Coverage vector

measured 35 of 35 reference resolution

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

35 of 35 outbound references displayed

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External citation measurements

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Outbound references

Observation fafd2e34-343b-4551-be7f-895ae39374b3 · outbound

This paper cites Global energy transformation: A roadmap to 2050.

Sustainable and Efficient Renewable-Driven Energy Trading via Neural-Enhanced Time-Adaptive Robust Nash Bargaining between Hydrogen-Enriched Gas and Active Distribution Networks Global energy transformation: A roadmap to 2050

Reference 1

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Observation 272df560-8a8d-4ddc-afab-50933d59b83c · outbound

This paper cites A Novel Genera- tion Rescheduling Algorithm to Improve Power System Reliability With High Renewable Energy Penetration.

Sustainable and Efficient Renewable-Driven Energy Trading via Neural-Enhanced Time-Adaptive Robust Nash Bargaining between Hydrogen-Enriched Gas and Active Distribution Networks A Novel Genera- tion Rescheduling Algorithm to Improve Power System Reliability With High Renewable Energy Penetration

Reference 2

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Observation 05b85276-1ac7-4ba0-9a8d-b45b6f258bc3 · outbound

This paper cites Optimal operation for integrated electricity and natural gas systems considering demand response uncertainties.

Sustainable and Efficient Renewable-Driven Energy Trading via Neural-Enhanced Time-Adaptive Robust Nash Bargaining between Hydrogen-Enriched Gas and Active Distribution Networks Optimal operation for integrated electricity and natural gas systems considering demand response uncertainties

Reference 3

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Observation 0c5b2fc7-abbd-458b-a6e6-c64f3c90e6fd · outbound

This paper cites Techno-economic analysis of Power -to-Gas plants in a gas and electricity distribution network system with high renewable energy pene- tration.

Sustainable and Efficient Renewable-Driven Energy Trading via Neural-Enhanced Time-Adaptive Robust Nash Bargaining between Hydrogen-Enriched Gas and Active Distribution Networks Techno-economic analysis of Power -to-Gas plants in a gas and electricity distribution network system with high renewable energy pene- tration

Reference 4

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Observation 9928eb11-a188-41b0-874a-022c04a6331a · outbound

This paper cites Distributed optimization of integrated electricity-natural gas distribution networks considering wind power un- certainties.

Sustainable and Efficient Renewable-Driven Energy Trading via Neural-Enhanced Time-Adaptive Robust Nash Bargaining between Hydrogen-Enriched Gas and Active Distribution Networks Distributed optimization of integrated electricity-natural gas distribution networks considering wind power un- certainties

Reference 5

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Observation e56491c8-d25d-462d-929a-8e55d2a6abf1 · outbound

This paper cites Optimal Operation of an Inte- grated Energy System Incorporated With HCNG Distribution Networks.

Sustainable and Efficient Renewable-Driven Energy Trading via Neural-Enhanced Time-Adaptive Robust Nash Bargaining between Hydrogen-Enriched Gas and Active Distribution Networks Optimal Operation of an Inte- grated Energy System Incorporated With HCNG Distribution Networks

Reference 6

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Observation f3e2d348-cb73-4395-a33f-0b529ec53376 · outbound

This paper cites The GRHYD demonstration project.

Sustainable and Efficient Renewable-Driven Energy Trading via Neural-Enhanced Time-Adaptive Robust Nash Bargaining between Hydrogen-Enriched Gas and Active Distribution Networks The GRHYD demonstration project

Reference 7

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Observation 08bbc2b3-5ec6-4658-8bc0-e93ae6b9b3af · outbound

This paper cites High efficiencies with low fuel utilization and thermally inte- grated fuel reforming in a hybrid solid oxide fuel cell gas turbine system.

Sustainable and Efficient Renewable-Driven Energy Trading via Neural-Enhanced Time-Adaptive Robust Nash Bargaining between Hydrogen-Enriched Gas and Active Distribution Networks High efficiencies with low fuel utilization and thermally inte- grated fuel reforming in a hybrid solid oxide fuel cell gas turbine system

Reference 8

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Observation 78cbe637-ca56-4c2c-83fd-1767a6b20565 · outbound

This paper cites Effect of blending hydrogen to biogas fuel driven from anaerobic digestion of wastewater on the performance of a solid oxide fuel cell system.

Sustainable and Efficient Renewable-Driven Energy Trading via Neural-Enhanced Time-Adaptive Robust Nash Bargaining between Hydrogen-Enriched Gas and Active Distribution Networks Effect of blending hydrogen to biogas fuel driven from anaerobic digestion of wastewater on the performance of a solid oxide fuel cell system

Reference 9

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Observation 7c4edccf-a067-4175-acd2-47a229d4fd8f · outbound

This paper cites Economic performance study of the integrated MR-SOFC-CCHP system.

Sustainable and Efficient Renewable-Driven Energy Trading via Neural-Enhanced Time-Adaptive Robust Nash Bargaining between Hydrogen-Enriched Gas and Active Distribution Networks Economic performance study of the integrated MR-SOFC-CCHP system

Reference 10

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Observation 43501031-3d5d-45ec-9c2b-53f5d5d03a5d · outbound

This paper cites Effect of a SOFC plant on distri- bution system stability.

Sustainable and Efficient Renewable-Driven Energy Trading via Neural-Enhanced Time-Adaptive Robust Nash Bargaining between Hydrogen-Enriched Gas and Active Distribution Networks Effect of a SOFC plant on distri- bution system stability

Reference 11

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This paper cites Contin- uous-Time Co -Operation of Integrated Electricity and Natural Gas Sys- tems With Responsive Demands Under Wind Power Generation Uncer- tainty.

Sustainable and Efficient Renewable-Driven Energy Trading via Neural-Enhanced Time-Adaptive Robust Nash Bargaining between Hydrogen-Enriched Gas and Active Distribution Networks Contin- uous-Time Co -Operation of Integrated Electricity and Natural Gas Sys- tems With Responsive Demands Under Wind Power Generation Uncer- tainty

Reference 12

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Observation 049ab772-2f29-4f30-a70c-1c8223136b73 · outbound

This paper cites Incentive Mechanism Design for Integrated Microgrids in Peak Ramp Minimization Problem.

Sustainable and Efficient Renewable-Driven Energy Trading via Neural-Enhanced Time-Adaptive Robust Nash Bargaining between Hydrogen-Enriched Gas and Active Distribution Networks Incentive Mechanism Design for Integrated Microgrids in Peak Ramp Minimization Problem

Reference 13

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Observation f03fc35b-ddf6-4b51-be3e-c4c3e8e01880 · outbound

This paper cites Risk premia in the German day -ahead electricity market revisited: The impact of negative prices.

Sustainable and Efficient Renewable-Driven Energy Trading via Neural-Enhanced Time-Adaptive Robust Nash Bargaining between Hydrogen-Enriched Gas and Active Distribution Networks Risk premia in the German day -ahead electricity market revisited: The impact of negative prices

Reference 14

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Observation b7609c21-3910-4a53-b6af-a54d5f523dc3 · outbound

This paper cites Energy management for a community - level integrated energy system with photovoltaic prosumers based on bar- gaining theory.

Sustainable and Efficient Renewable-Driven Energy Trading via Neural-Enhanced Time-Adaptive Robust Nash Bargaining between Hydrogen-Enriched Gas and Active Distribution Networks Energy management for a community - level integrated energy system with photovoltaic prosumers based on bar- gaining theory

Reference 15

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Observation 0d0c2678-4826-4f8e-9119-dc3bb7d67ae5 · outbound

This paper cites Bargaining -based cooperative energy trading for distribution company and demand response.

Sustainable and Efficient Renewable-Driven Energy Trading via Neural-Enhanced Time-Adaptive Robust Nash Bargaining between Hydrogen-Enriched Gas and Active Distribution Networks Bargaining -based cooperative energy trading for distribution company and demand response

Reference 16

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Observation 0b628659-a604-4498-a9d8-a5ac39e5e200 · outbound

This paper cites Sample Robust Scheduling of Electricity -Gas Systems Under Wind Power Uncertainty.

Sustainable and Efficient Renewable-Driven Energy Trading via Neural-Enhanced Time-Adaptive Robust Nash Bargaining between Hydrogen-Enriched Gas and Active Distribution Networks Sample Robust Scheduling of Electricity -Gas Systems Under Wind Power Uncertainty

Reference 17

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Observation b7a2b02c-d9ee-4f2a-9563-608e73d9f93c · outbound

This paper cites Optimal Sizing of Energy Storage Systems Using Frequency -Separation-Based Energy Management for Fuel Cell Hybrid Electric Vehicles.

Sustainable and Efficient Renewable-Driven Energy Trading via Neural-Enhanced Time-Adaptive Robust Nash Bargaining between Hydrogen-Enriched Gas and Active Distribution Networks Optimal Sizing of Energy Storage Systems Using Frequency -Separation-Based Energy Management for Fuel Cell Hybrid Electric Vehicles

Reference 18

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Observation 166d51f3-b6b5-4b2e-9563-876441bb2891 · outbound

This paper cites Stability- constrained two-stage robust optimization for integrated hydrogen hybrid energy system.

Sustainable and Efficient Renewable-Driven Energy Trading via Neural-Enhanced Time-Adaptive Robust Nash Bargaining between Hydrogen-Enriched Gas and Active Distribution Networks Stability- constrained two-stage robust optimization for integrated hydrogen hybrid energy system

Reference 19

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This paper cites Robust optimal dis- patching of integrated electricity and gas system considering refined pow- er-to-gas model under the dual carbon target.

Sustainable and Efficient Renewable-Driven Energy Trading via Neural-Enhanced Time-Adaptive Robust Nash Bargaining between Hydrogen-Enriched Gas and Active Distribution Networks Robust optimal dis- patching of integrated electricity and gas system considering refined pow- er-to-gas model under the dual carbon target

Reference 20

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Observation d248aedc-57a7-44b8-b05a-9fdb6f875410 · outbound

This paper cites Robust day -ahead coordinated scheduling of multi -energy systems with integrated heat -electricity de- mand response and high penetration of renewable energy.

Sustainable and Efficient Renewable-Driven Energy Trading via Neural-Enhanced Time-Adaptive Robust Nash Bargaining between Hydrogen-Enriched Gas and Active Distribution Networks Robust day -ahead coordinated scheduling of multi -energy systems with integrated heat -electricity de- mand response and high penetration of renewable energy

Reference 21

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Observation ab76a312-6122-4617-baf3-b8c9870c7e56 · outbound

This paper cites Adaptive‐robust multi‐resolution generation maintenance scheduling with probabilistic reliability constraint.

Sustainable and Efficient Renewable-Driven Energy Trading via Neural-Enhanced Time-Adaptive Robust Nash Bargaining between Hydrogen-Enriched Gas and Active Distribution Networks Adaptive‐robust multi‐resolution generation maintenance scheduling with probabilistic reliability constraint

Reference 22

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This paper cites Steady state analysis of gas networks with distributed injection of alternative gas.

Sustainable and Efficient Renewable-Driven Energy Trading via Neural-Enhanced Time-Adaptive Robust Nash Bargaining between Hydrogen-Enriched Gas and Active Distribution Networks Steady state analysis of gas networks with distributed injection of alternative gas

Reference 23

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This paper cites Day-Ahead Dispatch of Integrated Electric- ity and Natural Gas System Considering Reserve Scheduling and Renew- able Uncertainties.

Sustainable and Efficient Renewable-Driven Energy Trading via Neural-Enhanced Time-Adaptive Robust Nash Bargaining between Hydrogen-Enriched Gas and Active Distribution Networks Day-Ahead Dispatch of Integrated Electric- ity and Natural Gas System Considering Reserve Scheduling and Renew- able Uncertainties

Reference 24

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This paper cites A convex optimization and iterative solu- tion based method for optimal power-gas flow considering power and gas losses.

Sustainable and Efficient Renewable-Driven Energy Trading via Neural-Enhanced Time-Adaptive Robust Nash Bargaining between Hydrogen-Enriched Gas and Active Distribution Networks A convex optimization and iterative solu- tion based method for optimal power-gas flow considering power and gas losses

Reference 25

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Observation 7627035d-17ae-4ae6-bdef-1c3a3c3e4eb8 · outbound

This paper cites Optimal Scheduling of FTPSS With PV and HESS Considering the Online Degradation of Battery Capacity.

Sustainable and Efficient Renewable-Driven Energy Trading via Neural-Enhanced Time-Adaptive Robust Nash Bargaining between Hydrogen-Enriched Gas and Active Distribution Networks Optimal Scheduling of FTPSS With PV and HESS Considering the Online Degradation of Battery Capacity

Reference 26

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Observation 11fb1acc-4d4b-4d91-8acf-cfb6f61b5ef5 · outbound

This paper cites An efficient and incentive-compatible market design for energy storage participation.

Sustainable and Efficient Renewable-Driven Energy Trading via Neural-Enhanced Time-Adaptive Robust Nash Bargaining between Hydrogen-Enriched Gas and Active Distribution Networks An efficient and incentive-compatible market design for energy storage participation

Reference 27

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Observation ea76312d-eb2f-4ef9-9412-bdfd19c3a5c6 · outbound

This paper cites Integrated Electricity and Natural Gas Demand Response for Manufacturers in the Smart Grid.

Sustainable and Efficient Renewable-Driven Energy Trading via Neural-Enhanced Time-Adaptive Robust Nash Bargaining between Hydrogen-Enriched Gas and Active Distribution Networks Integrated Electricity and Natural Gas Demand Response for Manufacturers in the Smart Grid

Reference 28

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Observation 85665778-c66d-43d4-850e-306691174ba3 · outbound

This paper cites P -robust energy management of a multi -energy microgrid enabled with energy conversions under various uncertainties.

Sustainable and Efficient Renewable-Driven Energy Trading via Neural-Enhanced Time-Adaptive Robust Nash Bargaining between Hydrogen-Enriched Gas and Active Distribution Networks P -robust energy management of a multi -energy microgrid enabled with energy conversions under various uncertainties

Reference 29

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 5b643292-67a7-47c1-81fb-21ac147cd5fb · outbound

This paper cites Flexibility -based improved energy hub model for multi -energy distribution systems.

Sustainable and Efficient Renewable-Driven Energy Trading via Neural-Enhanced Time-Adaptive Robust Nash Bargaining between Hydrogen-Enriched Gas and Active Distribution Networks Flexibility -based improved energy hub model for multi -energy distribution systems

Reference 30

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verified fuzzy
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Observation 82e6e44e-71d7-4292-b254-4e7485b46240 · outbound

This paper cites Coordinated Investment Planning of Distributed Multi-Type Stochastic Generation and Battery Storage in Active Distribu- tion Networks.

Sustainable and Efficient Renewable-Driven Energy Trading via Neural-Enhanced Time-Adaptive Robust Nash Bargaining between Hydrogen-Enriched Gas and Active Distribution Networks Coordinated Investment Planning of Distributed Multi-Type Stochastic Generation and Battery Storage in Active Distribu- tion Networks

Reference 31

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation d99ff82b-c8ec-4a34-977c-f9bcbb125a8e · outbound

This paper cites Distributed Optimization and Statistical Learning via the Alter- nating Direction Method of Multipliers.

Sustainable and Efficient Renewable-Driven Energy Trading via Neural-Enhanced Time-Adaptive Robust Nash Bargaining between Hydrogen-Enriched Gas and Active Distribution Networks Distributed Optimization and Statistical Learning via the Alter- nating Direction Method of Multipliers

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T08:26:48.828344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T08:26:25.783139Z digest=sha256:424a81ace163f5eb8291e87a1fd1ce0de1b28e9fa77dad7ea8a8b05b548b0665

Observation 3499c915-b18f-4741-8434-bd5e6161f7d3 · outbound

This paper cites an unresolved cited work.

Sustainable and Efficient Renewable-Driven Energy Trading via Neural-Enhanced Time-Adaptive Robust Nash Bargaining between Hydrogen-Enriched Gas and Active Distribution Networks Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-05-25T08:26:48.871439Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 1a86fd8e-e3c7-4b22-a92d-6a7c53f3b4f0 · outbound

This paper cites Column Generation Algorithms for Nonlinear Optimization, I: Convergence Analysis.

Sustainable and Efficient Renewable-Driven Energy Trading via Neural-Enhanced Time-Adaptive Robust Nash Bargaining between Hydrogen-Enriched Gas and Active Distribution Networks Column Generation Algorithms for Nonlinear Optimization, I: Convergence Analysis

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T08:26:48.824506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation d574070a-09aa-41df-a93d-58c45a49d75f · outbound

This paper cites Solving two -stage robust optimization problems using a column -and-constraint generation method.

Sustainable and Efficient Renewable-Driven Energy Trading via Neural-Enhanced Time-Adaptive Robust Nash Bargaining between Hydrogen-Enriched Gas and Active Distribution Networks Solving two -stage robust optimization problems using a column -and-constraint generation method

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T08:26:48.878738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T08:26:25.783139Z digest=sha256:95a45dc50e4bb0ffe41376f75c5a3d35407fe3f5374d51f0642cff6ab262ebc1

Pith citing papers

No inbound Pith citation observations are available.