Paper Citation Record · LEDGER

A Central Chilled Water Plant Model for Designing Learning-Based Controllers

As of 20 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2508.15649.

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

pith.paper-citation-record.v1
2508.15649 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:52:02.099755Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

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

36 of 36 outbound references displayed

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verified fuzzy31
unresolved4
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0a9bf96f-3ea1-4264-9320-7118eb5de80e · outbound

This paper cites Improved cooling tower control of legacy chiller plants by optimizing the condenser water set point,.

A Central Chilled Water Plant Model for Designing Learning-Based Controllers Improved cooling tower control of legacy chiller plants by optimizing the condenser water set point,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:02.575312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d7fe5320-30ff-430c-a0ea-fb194ec53e32 · outbound

This paper cites Model predictive control of central chiller plant with thermal energy storage via dynamic programming and mixed-integer linear programming,.

A Central Chilled Water Plant Model for Designing Learning-Based Controllers Model predictive control of central chiller plant with thermal energy storage via dynamic programming and mixed-integer linear programming,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:02.564751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 568d00c2-d91a-4a2b-ac8c-442980a469b2 · outbound

This paper cites District heating and cooling systems – framework for modelica-based simulation and dynamic optimization,.

A Central Chilled Water Plant Model for Designing Learning-Based Controllers District heating and cooling systems – framework for modelica-based simulation and dynamic optimization,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:02.553373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b931d374-c3ee-4134-ad0f-fe9d4d9e32ff · outbound

This paper cites A case study of economic optimization of hvac systems based on the stanford university campus airside and waterside systems,.

A Central Chilled Water Plant Model for Designing Learning-Based Controllers A case study of economic optimization of hvac systems based on the stanford university campus airside and waterside systems,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:02.542889Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f311cfce-a133-40ef-8744-512513022f54 · outbound

This paper cites Virtual testbed for model predictive control development in district cooling systems,.

A Central Chilled Water Plant Model for Designing Learning-Based Controllers Virtual testbed for model predictive control development in district cooling systems,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:02.532830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 297efc3b-87da-4299-b73e-f3652e7f09fa · outbound

This paper cites Machine learning vs. hybrid machine learning model for optimal operation of a chiller,.

A Central Chilled Water Plant Model for Designing Learning-Based Controllers Machine learning vs. hybrid machine learning model for optimal operation of a chiller,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:02.522624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0300706b-93eb-4535-a2a1-7578f69ca3ce · outbound

This paper cites Model-free optimal chiller loading method based on Q-learning,.

A Central Chilled Water Plant Model for Designing Learning-Based Controllers Model-free optimal chiller loading method based on Q-learning,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:02.512322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6422040b-40bf-4c33-b140-423c15156190 · outbound

This paper cites Reinforcement learning for optimal control of a district cooling energy plant,.

A Central Chilled Water Plant Model for Designing Learning-Based Controllers Reinforcement learning for optimal control of a district cooling energy plant,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:02.501927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e9a050a6-c9b2-41c2-9483-0d1868a9e8f5 · outbound

This paper cites Optimizing Industrial HVAC Systems with Hierarchical Reinforcement Learning.

A Central Chilled Water Plant Model for Designing Learning-Based Controllers Optimizing Industrial HVAC Systems with Hierarchical Reinforcement Learning

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-05T17:52:02.214822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6d052458-8a4e-426f-b018-0dd82a418954 · outbound

This paper cites Model-free MIMO control tuning of a chiller process using reinforcement learning,.

A Central Chilled Water Plant Model for Designing Learning-Based Controllers Model-free MIMO control tuning of a chiller process using reinforcement learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:02.491993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2bc83829-b09c-4227-b1f1-36d1862316b7 · outbound

This paper cites Real-time optimization of a chilled water plant with parallel chillers based on extremum seeking control,.

A Central Chilled Water Plant Model for Designing Learning-Based Controllers Real-time optimization of a chilled water plant with parallel chillers based on extremum seeking control,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:02.481741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 07d09394-dda4-46b8-80a4-bdc0c883fa4a · outbound

This paper cites Energy optimization of an in-service commercial building chiller plant via extremum seeking control,.

A Central Chilled Water Plant Model for Designing Learning-Based Controllers Energy optimization of an in-service commercial building chiller plant via extremum seeking control,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:02.472197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 56234dd5-96ff-46a2-8517-ea97623beea3 · outbound

This paper cites 2020 ASHRAE Handbook — HV AC Systems and Equipment,.

A Central Chilled Water Plant Model for Designing Learning-Based Controllers 2020 ASHRAE Handbook — HV AC Systems and Equipment,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:02.462576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e158b196-0dfa-40c9-bc76-ab3bcef638e6 · outbound

This paper cites EnergyPlus: Energy simulation program,.

A Central Chilled Water Plant Model for Designing Learning-Based Controllers EnergyPlus: Energy simulation program,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:02.451480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 53cdbdb9-2f8e-41f4-ae52-ec81e1dd69c9 · outbound

This paper cites Modelica buildings library,.

A Central Chilled Water Plant Model for Designing Learning-Based Controllers Modelica buildings library,

Reference 15

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Source-reported events for the cited work

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Observation 218a8220-bb4e-4501-8a16-232822161477 · outbound

This paper cites Development, validation, and assessment of a high fidelity chilled water plant model,.

A Central Chilled Water Plant Model for Designing Learning-Based Controllers Development, validation, and assessment of a high fidelity chilled water plant model,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:02.441729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation aaa88e31-283e-4660-8848-e7e2b4ea4e3e · outbound

This paper cites A multi-agent control approach for optimization of central cooling plants,.

A Central Chilled Water Plant Model for Designing Learning-Based Controllers A multi-agent control approach for optimization of central cooling plants,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:02.430970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e243f851-dcf1-40d6-a82e-9da88746b9fc · outbound

This paper cites Open-source modelica models for the control performance simulation of chiller plants with water-side economizer,.

A Central Chilled Water Plant Model for Designing Learning-Based Controllers Open-source modelica models for the control performance simulation of chiller plants with water-side economizer,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:02.419615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 825059c8-08ff-4305-b412-87b95af3b65f · outbound

This paper cites Openbuildingcontrol,.

A Central Chilled Water Plant Model for Designing Learning-Based Controllers Openbuildingcontrol,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:02.409465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 63208a4e-7566-46dd-b62d-364379fd765c · outbound

This paper cites Ibpsa project 1,.

A Central Chilled Water Plant Model for Designing Learning-Based Controllers Ibpsa project 1,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:02.399962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fac9ae26-6e82-4c3e-bd7e-bcadd3ff7a09 · outbound

This paper cites an unresolved cited work.

A Central Chilled Water Plant Model for Designing Learning-Based Controllers Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-05T17:52:02.390277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f66c75c3-aea3-419d-9c4c-87efff82e4eb · outbound

This paper cites an unresolved cited work.

A Central Chilled Water Plant Model for Designing Learning-Based Controllers Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-05T17:52:02.381289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5a9a6ad2-315e-4b90-b0fc-43630f5d881d · outbound

This paper cites Optimal chiller sequencing control in an office building considering the variation of chiller maximum cooling capacity,.

A Central Chilled Water Plant Model for Designing Learning-Based Controllers Optimal chiller sequencing control in an office building considering the variation of chiller maximum cooling capacity,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:02.371458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 83b7c9b5-9670-42fa-b00c-607d6b83f173 · outbound

This paper cites Opti- mal control of district cooling energy plant with reinforcement learning and model predictive control,.

A Central Chilled Water Plant Model for Designing Learning-Based Controllers Opti- mal control of district cooling energy plant with reinforcement learning and model predictive control,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:02.361576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3965d0d5-5a11-4b8b-9332-627e7f55eff1 · outbound

This paper cites Model predictive control for energy-efficient HV AC operation with humidity and latent heat considerations,.

A Central Chilled Water Plant Model for Designing Learning-Based Controllers Model predictive control for energy-efficient HV AC operation with humidity and latent heat considerations,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:02.352189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation effb933a-5f78-4a15-b73a-f376ceda503c · outbound

This paper cites Atlanta, GA: ASHRAE, 2022.

A Central Chilled Water Plant Model for Designing Learning-Based Controllers Atlanta, GA: ASHRAE, 2022

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:02.341832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 546946f0-d30b-4d60-a289-7de22bca9b93 · outbound

This paper cites Glazer, ASHRAE Design Guide for Cool Thermal Storage (2nd Edition).

A Central Chilled Water Plant Model for Designing Learning-Based Controllers Glazer, ASHRAE Design Guide for Cool Thermal Storage (2nd Edition)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:02.331651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8c8b7ddb-af35-4025-9720-fcfcc79af828 · outbound

This paper cites A mixed-integer linear programming model for real- time cost optimization of building heating, ventilation, and air conditioning equipment,.

A Central Chilled Water Plant Model for Designing Learning-Based Controllers A mixed-integer linear programming model for real- time cost optimization of building heating, ventilation, and air conditioning equipment,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:02.320397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 104ed968-f67e-49b7-a8ec-70dc906d4c80 · outbound

This paper cites The ASHRAE handbook fundamentals (SI Edi- tion),.

A Central Chilled Water Plant Model for Designing Learning-Based Controllers The ASHRAE handbook fundamentals (SI Edi- tion),

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:02.309370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5ca69dcc-5d7c-4dbd-a3b5-fb5d5ae8ba3f · outbound

This paper cites American Society of Heating, Refrigerating and Air-Conditioning Engi- neers, Inc., 2019.

A Central Chilled Water Plant Model for Designing Learning-Based Controllers American Society of Heating, Refrigerating and Air-Conditioning Engi- neers, Inc., 2019

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:02.297836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 46d16568-1895-422f-8524-f0407503828e · outbound

This paper cites CasADi: a software framework for nonlinear op- timization and optimal control,.

A Central Chilled Water Plant Model for Designing Learning-Based Controllers CasADi: a software framework for nonlinear op- timization and optimal control,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:02.286853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6cb2ecbf-e8e2-4377-8297-f47ea746f9aa · outbound

This paper cites On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming,.

A Central Chilled Water Plant Model for Designing Learning-Based Controllers On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:02.275062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4492ff1d-a2e8-40ee-98fc-9ffb2e1f97f8 · outbound

This paper cites Reinforcement learning for optimal control of dis- trict cooling energy plant,.

A Central Chilled Water Plant Model for Designing Learning-Based Controllers Reinforcement learning for optimal control of dis- trict cooling energy plant,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:02.263309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation df24d7e0-4b77-456e-925b-cac958b6e3b0 · outbound

This paper cites PJM Interconnection Real-Time Hourly LMPs,.

A Central Chilled Water Plant Model for Designing Learning-Based Controllers PJM Interconnection Real-Time Hourly LMPs,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:02.252394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 19ac53aa-ad71-49d0-83e8-fe8011b76930 · outbound

This paper cites an unresolved cited work.

A Central Chilled Water Plant Model for Designing Learning-Based Controllers Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-05T17:52:02.239622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6afae832-fdde-4bce-84a5-a68c280cb483 · outbound

This paper cites From laboratory to on-site operation: Reevaluation of em- pirically based electric water chiller models,.

A Central Chilled Water Plant Model for Designing Learning-Based Controllers From laboratory to on-site operation: Reevaluation of em- pirically based electric water chiller models,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:02.226868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.