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Paper Citation Record · LEDGER

Optimal dynamic thermal plant control: A study and benchmark

As of 8 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2505.21679.

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

pith.paper-citation-record.v1
2505.21679 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

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measured 25 of 25 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

25 of 25 outbound references displayed

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External citation measurements

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Outbound references

Observation 2f566520-4df7-476f-863e-33368ceac997 · outbound

This paper cites The role of district heating in future renewable energy systems.

Optimal dynamic thermal plant control: A study and benchmark The role of district heating in future renewable energy systems

Reference 1

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Observation 80662410-e89b-4db7-805d-dfdda4895f6e · outbound

This paper cites Energy Storage and Smart Energy Systems.

Optimal dynamic thermal plant control: A study and benchmark Energy Storage and Smart Energy Systems

Reference 2

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This paper cites The benefits of 4th generation district heating in a 100% renewable energy system.

Optimal dynamic thermal plant control: A study and benchmark The benefits of 4th generation district heating in a 100% renewable energy system

Reference 3

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This paper cites The potential of power-to-heat in Swedish district heating systems.

Optimal dynamic thermal plant control: A study and benchmark The potential of power-to-heat in Swedish district heating systems

Reference 4

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This paper cites District heating networks – dynamic simulation and optimal operation.

Optimal dynamic thermal plant control: A study and benchmark District heating networks – dynamic simulation and optimal operation

Reference 5

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This paper cites Optimal operation of large district heating networks through fast fluid-dynamic simulation.

Optimal dynamic thermal plant control: A study and benchmark Optimal operation of large district heating networks through fast fluid-dynamic simulation

Reference 6

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This paper cites Optimal Temperature Control of Large Scale District Heating Networks.

Optimal dynamic thermal plant control: A study and benchmark Optimal Temperature Control of Large Scale District Heating Networks

Reference 7

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Observation 8064e2ca-9de3-42b0-b5ce-b6b12294e7e8 · outbound

This paper cites Non- linear optimization of district heating networks.

Optimal dynamic thermal plant control: A study and benchmark Non- linear optimization of district heating networks

Reference 8

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This paper cites Springer, 2021.

Optimal dynamic thermal plant control: A study and benchmark Springer, 2021

Reference 9

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This paper cites Graph theory.

Optimal dynamic thermal plant control: A study and benchmark Graph theory

Reference 10

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This paper cites A state of art review on the district heating systems.

Optimal dynamic thermal plant control: A study and benchmark A state of art review on the district heating systems

Reference 11

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This paper cites Thermo-fluid dynamic model of large district heating net- works for the analysis of primary energy savings.

Optimal dynamic thermal plant control: A study and benchmark Thermo-fluid dynamic model of large district heating net- works for the analysis of primary energy savings

Reference 12

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Optimal dynamic thermal plant control: A study and benchmark Unresolved cited work

Reference 13

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Optimal dynamic thermal plant control: A study and benchmark Modern regularization methods for inverse problems

Reference 14

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This paper cites Cambridge university press, 2004.isbn: 978-0-521-83378-3.

Optimal dynamic thermal plant control: A study and benchmark Cambridge university press, 2004.isbn: 978-0-521-83378-3

Reference 15

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This paper cites PyTorch: An Im- perative Style, High-Performance Deep Learning Library.

Optimal dynamic thermal plant control: A study and benchmark PyTorch: An Im- perative Style, High-Performance Deep Learning Library

Reference 16

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Optimal dynamic thermal plant control: A study and benchmark A Limited Memory Algorithm for Bound Constrained Optimization

Reference 17

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Optimal dynamic thermal plant control: A study and benchmark Unresolved cited work

Reference 18

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This paper cites Verification of an open-source Python library for the simulation of district heating networks with complex topologies.

Optimal dynamic thermal plant control: A study and benchmark Verification of an open-source Python library for the simulation of district heating networks with complex topologies

Reference 19

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Optimal dynamic thermal plant control: A study and benchmark Unresolved cited work

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Optimal dynamic thermal plant control: A study and benchmark org / data / european - wholesale - electricity-price-data

Reference 21

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Optimal dynamic thermal plant control: A study and benchmark Perspectives for low- temperature waste heat recovery

Reference 22

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Optimal dynamic thermal plant control: A study and benchmark doi: 10.1016/j.rser.2018.08.005

Reference 439

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Optimal dynamic thermal plant control: A study and benchmark doi: 10.1016/j.energy.2017.02.075

Reference 669

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Optimal dynamic thermal plant control: A study and benchmark doi: 10.1137/0916069

Reference 1208

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Pith citing papers

No inbound Pith citation observations are available.