Paper Citation Record · LEDGER

Process-Knowledge-Embedded Safe DRL for Real-Time Dispatch of Process Loads in Industrial Microgrids

As of 20 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2608.03149.

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

pith.paper-citation-record.v1
2608.03149 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:57:39.572115Z

measured 27 of 27 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

27 of 27 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b72c35ff-9393-41b3-9490-8bc1298b7825 · outbound

This paper cites Energy management of networked microgrids with real-time pricing by reinforcement learning,.

Process-Knowledge-Embedded Safe DRL for Real-Time Dispatch of Process Loads in Industrial Microgrids Energy management of networked microgrids with real-time pricing by reinforcement learning,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:57:39.900213Z

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 72f026d1-7aa7-4177-9e5a-b759f2190e32 · outbound

This paper cites Demand response for industrial micro-grid considering photovoltaic power uncertainty and battery operational cost,.

Process-Knowledge-Embedded Safe DRL for Real-Time Dispatch of Process Loads in Industrial Microgrids Demand response for industrial micro-grid considering photovoltaic power uncertainty and battery operational cost,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:57:39.889357Z

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 a5f0dc4c-629a-4085-8de6-3db7f6ead909 · outbound

This paper cites Incorporating multi-energy industrial parks into power system operations: A high- dimensional flexible region method,.

Process-Knowledge-Embedded Safe DRL for Real-Time Dispatch of Process Loads in Industrial Microgrids Incorporating multi-energy industrial parks into power system operations: A high- dimensional flexible region method,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:57:39.879204Z

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Observation aece7f27-f89f-4af5-beef-a591174000b5 · outbound

This paper cites Optimal industrial load control in smart grid,.

Process-Knowledge-Embedded Safe DRL for Real-Time Dispatch of Process Loads in Industrial Microgrids Optimal industrial load control in smart grid,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:57:39.867866Z

Source-reported events for the cited work

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Observation c2b71b37-bc1f-455c-b5c4-32da806fe51f · outbound

This paper cites A rule-based approach founded on description logics for industry 4.0 smart factories,.

Process-Knowledge-Embedded Safe DRL for Real-Time Dispatch of Process Loads in Industrial Microgrids A rule-based approach founded on description logics for industry 4.0 smart factories,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:57:39.857127Z

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 ed1085c0-9c60-4116-aaf6-ea126ed39731 · outbound

This paper cites Cost-effective scheduling of steel plants with flexible EAFs,.

Process-Knowledge-Embedded Safe DRL for Real-Time Dispatch of Process Loads in Industrial Microgrids Cost-effective scheduling of steel plants with flexible EAFs,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:57:39.847252Z

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 f934471f-1e9a-46f7-b7c7-54db0ca9edf8 · outbound

This paper cites Efficient schedul- ing of discrete industrial processes through continuous modeling,.

Process-Knowledge-Embedded Safe DRL for Real-Time Dispatch of Process Loads in Industrial Microgrids Efficient schedul- ing of discrete industrial processes through continuous modeling,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:57:39.835789Z

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 0c93af9e-20b2-492f-8f32-c7d59695f8b0 · outbound

This paper cites A demand response energy management scheme for industrial facilities in smart grid,.

Process-Knowledge-Embedded Safe DRL for Real-Time Dispatch of Process Loads in Industrial Microgrids A demand response energy management scheme for industrial facilities in smart grid,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:57:39.825036Z

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 2535d11c-05f8-4298-8b69-b01e20379a3a · outbound

This paper cites Design and value evaluation of demand response based on model predictive control,.

Process-Knowledge-Embedded Safe DRL for Real-Time Dispatch of Process Loads in Industrial Microgrids Design and value evaluation of demand response based on model predictive control,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:57:39.813249Z

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 37c8d060-6183-4925-ac6d-54c8b53723d1 · outbound

This paper cites Real-time scheduling for dynamic partial-no-wait multiobjective flexible job shop by deep reinforcement learning,.

Process-Knowledge-Embedded Safe DRL for Real-Time Dispatch of Process Loads in Industrial Microgrids Real-time scheduling for dynamic partial-no-wait multiobjective flexible job shop by deep reinforcement learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:57:39.802828Z

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 138bbedf-9ecc-4803-8143-ab19f7594187 · outbound

This paper cites Flexible job-shop scheduling via graph neural network and deep reinforcement learning,.

Process-Knowledge-Embedded Safe DRL for Real-Time Dispatch of Process Loads in Industrial Microgrids Flexible job-shop scheduling via graph neural network and deep reinforcement learning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:57:39.791785Z

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 6944031e-457e-4b4a-86db-3b20ec34f75a · outbound

This paper cites Model-free real-time ev charging scheduling based on deep reinforcement learning,.

Process-Knowledge-Embedded Safe DRL for Real-Time Dispatch of Process Loads in Industrial Microgrids Model-free real-time ev charging scheduling based on deep reinforcement learning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:57:39.780851Z

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 4225d559-36c8-479a-8bc2-c8f3cc48cbb2 · outbound

This paper cites Data-driven real-time price-based demand response for industrial facilities energy management,.

Process-Knowledge-Embedded Safe DRL for Real-Time Dispatch of Process Loads in Industrial Microgrids Data-driven real-time price-based demand response for industrial facilities energy management,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:57:39.769783Z

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 11eb07ab-798a-4d8f-babd-a686c85b039d · outbound

This paper cites Multi-agent deep reinforce- ment learning based demand response for discrete manufacturing sys- tems energy management,.

Process-Knowledge-Embedded Safe DRL for Real-Time Dispatch of Process Loads in Industrial Microgrids Multi-agent deep reinforce- ment learning based demand response for discrete manufacturing sys- tems energy management,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:57:39.758052Z

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 13659d3d-2dc6-461b-b643-6b354cdcc23d · outbound

This paper cites Multi-agent deep reinforcement learning based demand response and energy management for heavy industries with discrete manufacturing systems,.

Process-Knowledge-Embedded Safe DRL for Real-Time Dispatch of Process Loads in Industrial Microgrids Multi-agent deep reinforcement learning based demand response and energy management for heavy industries with discrete manufacturing systems,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:57:39.746462Z

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 5480a607-94d7-47f6-9560-611e150daee4 · outbound

This paper cites A deep reinforcement learning based multi-objective optimization for the scheduling of oxygen production system in integrated iron and steel plants,.

Process-Knowledge-Embedded Safe DRL for Real-Time Dispatch of Process Loads in Industrial Microgrids A deep reinforcement learning based multi-objective optimization for the scheduling of oxygen production system in integrated iron and steel plants,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:57:39.736243Z

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 e8cad8de-4503-40f6-b1d5-0639d193ea6e · outbound

This paper cites Optimization of oxygen system scheduling in hybrid action space based on deep reinforcement learning,.

Process-Knowledge-Embedded Safe DRL for Real-Time Dispatch of Process Loads in Industrial Microgrids Optimization of oxygen system scheduling in hybrid action space based on deep reinforcement learning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:57:39.724756Z

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 d97306eb-3d8e-46fa-a4d0-a177dbfde4e7 · outbound

This paper cites Deep reinforcement learning for scheduling of a steel plant in the electricity spot market,.

Process-Knowledge-Embedded Safe DRL for Real-Time Dispatch of Process Loads in Industrial Microgrids Deep reinforcement learning for scheduling of a steel plant in the electricity spot market,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:57:39.713688Z

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 37927bca-590c-4d6e-bff0-0a409800b281 · outbound

This paper cites Learning to operate distribution networks with safe deep reinforcement learning,.

Process-Knowledge-Embedded Safe DRL for Real-Time Dispatch of Process Loads in Industrial Microgrids Learning to operate distribution networks with safe deep reinforcement learning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:57:39.702810Z

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 e4a88b7f-6df7-494b-8a3b-4ffccb40814c · outbound

This paper cites Real-time price- based demand response for industrial manufacturing process via safe reinforcement learning,.

Process-Knowledge-Embedded Safe DRL for Real-Time Dispatch of Process Loads in Industrial Microgrids Real-time price- based demand response for industrial manufacturing process via safe reinforcement learning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:57:39.691521Z

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 77407d6b-ee3a-47e6-bf89-13cee992c35f · outbound

This paper cites Safe reinforcement learning method integrating process knowledge for real-time scheduling of gas supply network,.

Process-Knowledge-Embedded Safe DRL for Real-Time Dispatch of Process Loads in Industrial Microgrids Safe reinforcement learning method integrating process knowledge for real-time scheduling of gas supply network,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:57:39.679268Z

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 b8b6568b-c11a-46ad-bc47-99c2465444e8 · outbound

This paper cites Evolution-assisted safe reinforcement learning for real-time production optimization under uncertainty of industrial rotary kilns,.

Process-Knowledge-Embedded Safe DRL for Real-Time Dispatch of Process Loads in Industrial Microgrids Evolution-assisted safe reinforcement learning for real-time production optimization under uncertainty of industrial rotary kilns,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:57:39.667551Z

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 ea366989-e9eb-45c4-951e-8de64f9b34eb · outbound

This paper cites Safe reinforcement learning for industrial optimal control: A case study from metallurgical industry,.

Process-Knowledge-Embedded Safe DRL for Real-Time Dispatch of Process Loads in Industrial Microgrids Safe reinforcement learning for industrial optimal control: A case study from metallurgical industry,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:57:39.655208Z

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 9d63cbdd-7358-4758-836f-8fc3248f52a3 · outbound

This paper cites Hierarchical coordination of networked- microgrids toward decentralized operation: A safe deep reinforcement learning method,.

Process-Knowledge-Embedded Safe DRL for Real-Time Dispatch of Process Loads in Industrial Microgrids Hierarchical coordination of networked- microgrids toward decentralized operation: A safe deep reinforcement learning method,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:57:39.643504Z

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 09ad9e70-0a3c-4921-bdbf-b832f2034001 · outbound

This paper cites Safe deep reinforcement learning for microgrid energy management in distribution networks with leveraged spatial–temporal perception,.

Process-Knowledge-Embedded Safe DRL for Real-Time Dispatch of Process Loads in Industrial Microgrids Safe deep reinforcement learning for microgrid energy management in distribution networks with leveraged spatial–temporal perception,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:57:39.629559Z

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 8448fd39-03d4-4b41-ad28-e0688b014ceb · outbound

This paper cites Secure energy man- agement of multi-energy microgrid: A physical-informed safe reinforce- ment learning approach,.

Process-Knowledge-Embedded Safe DRL for Real-Time Dispatch of Process Loads in Industrial Microgrids Secure energy man- agement of multi-energy microgrid: A physical-informed safe reinforce- ment learning approach,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:57:39.617937Z

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 b2287240-5fe7-474d-88f4-c229e3e71e53 · outbound

This paper cites Ultra-short-term spatiotemporal forecasting of renewable resources: An attention temporal convolutional network- based approach,.

Process-Knowledge-Embedded Safe DRL for Real-Time Dispatch of Process Loads in Industrial Microgrids Ultra-short-term spatiotemporal forecasting of renewable resources: An attention temporal convolutional network- based approach,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:57:39.606200Z

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.