Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation | Paper Citation Record

Observation a7989ae9-af92-4d42-93cd-b3a0b7bbc567 · outbound

This paper cites A comprehensive review on energy management strategy of microgrids.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation A comprehensive review on energy management strategy of microgrids

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:56.142569Z

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Observation e15e799a-cea5-4f59-babf-2e964dccf851 · outbound

This paper cites Bottom-up forecasting: Applications and limitations in load forecasting using smart-meter data.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Bottom-up forecasting: Applications and limitations in load forecasting using smart-meter data

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:56.007448Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 80a39f72-f297-4cdf-8e7f-78a2080e6086 · outbound

This paper cites Digital twins for reducing energy consumption in buildings: A review.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Digital twins for reducing energy consumption in buildings: A review

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:55.823947Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8a581281-af66-40fb-95e9-616c25a6bf08 · outbound

This paper cites Comparison of optimal control techniques for building energy management.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Comparison of optimal control techniques for building energy management

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:55.622672Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7e7f8961-8ed9-47aa-b2be-1b400c2aa362 · outbound

This paper cites Review of machine learning techniques for power electronics control and optimization, 2023.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Review of machine learning techniques for power electronics control and optimization, 2023

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:55.480745Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation acb1da7f-c885-4d10-9e9d-aa83b7e31a35 · outbound

This paper cites Identifying suitable models for the heat dynamics of buildings.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Identifying suitable models for the heat dynamics of buildings

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:55.327503Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3121456f-0d3d-4fa3-a0f8-2d91075b3285 · outbound

This paper cites Ben-Tal, L.E.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Ben-Tal, L.E

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:55.176399Z

Source-reported events for the cited work

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Observation 06301a96-ef14-4abb-a8ff-1fca172df289 · outbound

This paper cites Energy simulation in building design.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Energy simulation in building design

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:55.020160Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c6c266b0-c5fc-48df-8cec-80d990f54f85 · outbound

This paper cites Vrabie, and Lieve Helsen.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Vrabie, and Lieve Helsen

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:54.945484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 161a3269-b432-4122-a2b1-753eae54fec5 · outbound

This paper cites Dhaigude and R.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Dhaigude and R

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:54.863050Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 639987bb-53fb-4dec-bf74-292b4cf20f28 · outbound

This paper cites Machine learning for smart and energy-efficient buildings.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Machine learning for smart and energy-efficient buildings

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:54.657464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e0629140-db24-44d4-8d18-2f9f3d852637 · outbound

This paper cites Cntrlda: A building energy management control system with real-time adjustments.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Cntrlda: A building energy management control system with real-time adjustments

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:54.488130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9a089a60-81a1-4eb6-8e93-eed6fd97f020 · outbound

This paper cites Dagdougui, A.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Dagdougui, A

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:54.344773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7eb6c80c-39fd-4bb9-90ab-c32c5a629bf1 · outbound

This paper cites A review on the basics of building energy estimation.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation A review on the basics of building energy estimation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:54.207599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2d1b9081-175f-475c-bab5-0aeacf51b724 · outbound

This paper cites Grey-box method for urban building energy modelling: Advancements and potentials.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Grey-box method for urban building energy modelling: Advancements and potentials

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:54.063922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 924db6c9-e0bc-4c95-9276-8e0feaf899c0 · outbound

This paper cites Forecasting: principles and practice.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Forecasting: principles and practice

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:53.837521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 008a3b8f-cf06-469f-a2bd-a772c5d5e257 · outbound

This paper cites Optimal combination forecasts for hierarchical time series.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Optimal combination forecasts for hierarchical time series

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:53.632739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a49676b8-e45a-4429-94a5-a24537ba9580 · outbound

This paper cites Density forecasting for long-term peak electricity demand.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Density forecasting for long-term peak electricity demand

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:53.500633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 73ed2ae2-56b4-4eea-8315-8ddf309f82bf · outbound

This paper cites Probabilistic electric load forecasting: A tutorial review.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Probabilistic electric load forecasting: A tutorial review

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:53.283828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 26e3a52d-b10c-47c5-9e05-8bc6b9bf653d · outbound

This paper cites An enhanced microgrid load demand sharing strategy.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation An enhanced microgrid load demand sharing strategy

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:53.057309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6f135947-b670-401a-bea6-ae5c453754a6 · outbound

This paper cites Global energy forecasting competition 2012, 2014.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Global energy forecasting competition 2012, 2014

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:52.921901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 37ee5253-d3d7-4661-bef5-716158d0c8ca · outbound

This paper cites Microgrids with model predictive control: a critical review.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Microgrids with model predictive control: a critical review

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:52.788151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 93fae0a1-7d49-449f-8da6-4ebcb46ccd54 · outbound

This paper cites Economic dispatch of combined heat and power plant units within energy network integrated with wind power plant.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Economic dispatch of combined heat and power plant units within energy network integrated with wind power plant

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:52.604633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9352a5df-d9ec-458a-b1c3-882c947526da · outbound

This paper cites Energy Forecasting in Smart Grid Systems: A Review of the State-of-the-art Techniques.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Energy Forecasting in Smart Grid Systems: A Review of the State-of-the-art Techniques

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:52:46.372536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5c164c1c-0587-4fe9-a906-a5444a6cc976 · outbound

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

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation The role of district heating in future renewable energy systems

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:52.429325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 47ad535b-0725-490a-8a79-81161e8f034b · outbound

This paper cites A hybrid forecasting model with parameter optimization for short-term load forecasting of micro-grids.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation A hybrid forecasting model with parameter optimization for short-term load forecasting of micro-grids

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:52.196829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 95f92438-f9db-4a82-8345-20b505bc99d0 · outbound

This paper cites Architecting principles for systems-of-systems.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Architecting principles for systems-of-systems

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:51.994117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cc2d0289-f18d-4e69-a990-8e210fd4433e · outbound

This paper cites Building energy load forecasting using deep neural networks.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Building energy load forecasting using deep neural networks

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:51.783321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0722bca2-5569-48df-9bad-bb6954eb5b73 · outbound

This paper cites Machine learning for modern power distribution systems: Progress and perspectives.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Machine learning for modern power distribution systems: Progress and perspectives

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:51.609902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 966089db-73b3-4b61-836b-1b8b80aec686 · outbound

This paper cites Machine learning for modern power distribution systems: Progress and perspectives.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Machine learning for modern power distribution systems: Progress and perspectives

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:51.426431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ad1e8d8a-1457-485d-9cc0-1a3a6a2e386c · outbound

This paper cites Enhanced reinforcement learning-model predictive control for distributed energy systems: Overcoming local and global optimization limitations.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Enhanced reinforcement learning-model predictive control for distributed energy systems: Overcoming local and global optimization limitations

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:51.216487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 37b7d6b1-82e3-471a-8ee9-14f27f6d7983 · outbound

This paper cites Energy forecasting: a comprehensive review of techniques and technologies.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Energy forecasting: a comprehensive review of techniques and technologies

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:50.937477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6694f686-a05e-4de2-b225-83167a096f02 · outbound

This paper cites Smart grid: fundamentals of design and analysis , volume 33.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Smart grid: fundamentals of design and analysis , volume 33

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:50.719310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 515b9259-c7d5-4787-8354-d55cf3f8f5c7 · outbound

This paper cites The m4 competition: Results, findings, conclusion and way forward.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation The m4 competition: Results, findings, conclusion and way forward

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:50.521229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 93ec99f5-9951-4445-823a-4e874242263e · outbound

This paper cites Building modeling as a crucial part for building predictive control.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Building modeling as a crucial part for building predictive control

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:50.390830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b2ec459e-04b0-43bb-8287-a2ee5186face · outbound

This paper cites Model predictive control: theory, computation, and design , volume 2.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Model predictive control: theory, computation, and design , volume 2

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:50.174961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b92e806c-0984-43ba-8589-8570a066b23a · outbound

This paper cites Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:50.011513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 60474eaa-6ca7-4711-a8a6-200b6127de86 · outbound

This paper cites A review of deep learning techniques for forecasting energy use in buildings.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation A review of deep learning techniques for forecasting energy use in buildings

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:49.780122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5b4f9d93-8b64-4735-a4fa-f24e9e24d3b3 · outbound

This paper cites A bcs-gde multi-objective optimization algorithm for combined cooling, heating and power model with decision strategies.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation A bcs-gde multi-objective optimization algorithm for combined cooling, heating and power model with decision strategies

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:49.627656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3cce8df1-a5dc-4b2e-b729-0b4a4a8c50fc · outbound

This paper cites Energy demand forecasting: industry practices and challenges.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Energy demand forecasting: industry practices and challenges

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:49.445671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8cdc5fd0-5d84-4093-9231-6453c630634b · outbound

This paper cites Experimental analysis of model predictive control for an energy efficient building heating system.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Experimental analysis of model predictive control for an energy efficient building heating system

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:49.292558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 91e2a487-33ac-45b5-9b50-67fa903bdbb0 · outbound

This paper cites Short-term electricity demand forecasting using double seasonal exponential smoothing.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Short-term electricity demand forecasting using double seasonal exponential smoothing

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:49.131536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6314ade8-ffa2-4c48-94b2-8a4b6001bd4d · outbound

This paper cites Digitalization and energy.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Digitalization and energy

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:48.988945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2b532bb9-e7bf-4216-9502-788afcd6472e · outbound

This paper cites A gradient boosting approach to the kaggle load forecasting competition.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation A gradient boosting approach to the kaggle load forecasting competition

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:48.746311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 600537f0-ad9f-4df1-bbd8-568ea85d0328 · outbound

This paper cites an unresolved cited work.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:52:48.496081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 892e83b2-3644-411c-b293-9bedf0248fee · outbound

This paper cites 2022 global status report for buildings and construction: towards a zero-emission, efficient and resilient buildings and construction sector.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation 2022 global status report for buildings and construction: towards a zero-emission, efficient and resilient buildings and construction sector

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:48.311580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e438d6af-9be6-489e-82c3-22135346a2af · outbound

This paper cites Global status report for buildings and construction.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Global status report for buildings and construction

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:48.195652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 87960986-ddfa-45d0-8276-e2033d9bc18f · outbound

This paper cites Villano, G.M.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Villano, G.M

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:48.005357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6b38765d-796e-49e6-a8aa-a4b3d659e4c2 · outbound

This paper cites Informed machine learning--a taxonomy and survey of integrating prior knowledge into learning systems.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Informed machine learning--a taxonomy and survey of integrating prior knowledge into learning systems

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:47.802903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0b76c2bb-f512-4f8f-b061-9a039ddd5c44 · outbound

This paper cites Spatial electric load forecasting.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Spatial electric load forecasting

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:47.648618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e378f70f-2282-4c43-9f6c-995633646bac · outbound

This paper cites No free lunch theorems for optimization.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation No free lunch theorems for optimization

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:47.458525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 31d627ba-b6e7-4789-98aa-e15ecccb6c94 · outbound

This paper cites Deep reinforcement learning for building hvac control.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Deep reinforcement learning for building hvac control

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:47.293303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fa94590c-3fd9-4bd1-9863-ce28924fec65 · outbound

This paper cites Flexible operation of a chp-vpp considering the coordination of supply and demand based on a strengthened distributionally robust optimization.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Flexible operation of a chp-vpp considering the coordination of supply and demand based on a strengthened distributionally robust optimization

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:47.139764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c4896b1a-507f-4df2-bf03-134851822bd8 · outbound

This paper cites Auto-evaluation model for the prediction of building energy consumption that combines modified kalman filtering and long short-term memory.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Auto-evaluation model for the prediction of building energy consumption that combines modified kalman filtering and long short-term memory

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:47.001384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ae858a05-1821-41be-9e11-1ffc552767ea · outbound

This paper cites Time series classification using multi-channels deep convolutional neural networks.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation Time series classification using multi-channels deep convolutional neural networks

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:46.834381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation be0dadee-0f82-484b-b4bc-161b1897d486 · outbound

This paper cites A multi-agent deep-reinforcement-learning-based strategy for safe distributed energy resource scheduling in energy hubs.

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation A multi-agent deep-reinforcement-learning-based strategy for safe distributed energy resource scheduling in energy hubs

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:46.603450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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