NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs | Paper Citation Record

Observation f6555beb-2d87-4be3-892c-6abd77a51c18 · outbound

This paper cites A probabilistic forecast methodology for volatile electricity prices in the Australian National Electricity Market.

NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs A probabilistic forecast methodology for volatile electricity prices in the Australian National Electricity Market

Reference 1

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NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs Unresolved cited work

Reference 2

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NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs Unresolved cited work

Reference 3

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NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs Unresolved cited work

Reference 4

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Observation f647a731-56ab-4ff1-9d36-afe569b288b5 · outbound

This paper cites Detecting Fake News Using Machine Learning : A Systematic Literature Review.

NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs Detecting Fake News Using Machine Learning : A Systematic Literature Review

Reference 5

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This paper cites Junqué de Fortuny, T.

NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs Junqué de Fortuny, T

Reference 6

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Observation 2b9c34e5-3cfc-49a8-8acb-96172d073d4c · outbound

This paper cites TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment.

NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment

Reference 7

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This paper cites Lazarczyk.

NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs Lazarczyk

Reference 8

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Observation c64d91e1-7fbf-4435-8cf1-8b4a1d65dc00 · outbound

This paper cites Rogmann, J.

NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs Rogmann, J

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:10:19.693038Z

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NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs Unresolved cited work

Reference 10

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NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs Unresolved cited work

Reference 11

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Observation 802068c4-4bb9-4632-80a8-49ff26f9f15c · outbound

This paper cites Mosquera-López, J.

NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs Mosquera-López, J

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:10:19.175499Z

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Observation 8bd05cc9-e979-4a54-b127-ee9b03df113d · outbound

This paper cites Are Transformers Effective for Time Series Forecasting?.

NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs Are Transformers Effective for Time Series Forecasting?

Reference 13

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This paper cites Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark.

NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark

Reference 14

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This paper cites Energy Price Modelling: A Comparative Evaluation of four Generations of Forecasting Methods.

NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs Energy Price Modelling: A Comparative Evaluation of four Generations of Forecasting Methods

Reference 15

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This paper cites Gpt4mts: prompt-based large language model for multimodal time-series forecasting.

NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs Gpt4mts: prompt-based large language model for multimodal time-series forecasting

Reference 16

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This paper cites Position: What Can Large Language Models Tell Us about Time Series Analysis.

NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs Position: What Can Large Language Models Tell Us about Time Series Analysis

Reference 17

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Observation 124b9dd5-82e6-49c5-9a75-7aa6bc0fa49a · outbound

This paper cites What Does ChatGPT Make of Historical Stock Returns? Extrapolation and Miscalibration in LLM Stock Return Forecasts.

NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs What Does ChatGPT Make of Historical Stock Returns? Extrapolation and Miscalibration in LLM Stock Return Forecasts

Reference 18

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Observation 28db2eb8-145d-4eec-9ffb-ecd0ad7c3f39 · outbound

This paper cites Timerag: Boosting llm time series forecasting via retrieval-augmented generation, 2024.

NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs Timerag: Boosting llm time series forecasting via retrieval-augmented generation, 2024

Reference 19

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This paper cites Ruibal and Mainak Mazumdar.

NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs Ruibal and Mainak Mazumdar

Reference 20

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This paper cites Using generative pre-trained transformers (gpt) for electricity price trend forecasting in the spanish market.

NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs Using generative pre-trained transformers (gpt) for electricity price trend forecasting in the spanish market

Reference 21

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This paper cites A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity.

NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity

Reference 22

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This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 23

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Observation a8fe75af-7375-4c0d-8100-68b44ace6a93 · outbound

This paper cites Language Models are Few-Shot Learners.

NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs Language Models are Few-Shot Learners

Reference 24

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This paper cites Wattclarity: Commentary and analysis of australia’s national electricity market.

NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs Wattclarity: Commentary and analysis of australia’s national electricity market

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:10:18.954476Z

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Observation 70d5a0ad-ca1a-4349-9edc-d115e470fdfd · outbound

This paper cites National electricity market (nem).

NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs National electricity market (nem)

Reference 27

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NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs Unresolved cited work

Reference 28

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NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs Unresolved cited work

Reference 29

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Observation 5458c2aa-9886-42da-afd3-f2b049ffcf26 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 30

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NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs Unresolved cited work

Reference 31

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This paper cites Bégin, F.

NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs Bégin, F

Reference 32

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NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs Gpt-4o technical report

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:10:15.219897Z

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Observation a83ff458-f8a1-42a8-9c1d-a9ab6094ec06 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 34

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NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs Unresolved cited work

Reference 35

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Observation 67f15ede-ff03-4935-abb5-2655c4e84a7c · outbound

This paper cites prompt":.

NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs prompt":

Reference 36

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This paper cites Guidelines: • The answer NA means that the abstract and introduction do not include the claims made in the paper.

NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs Guidelines: • The answer NA means that the abstract and introduction do not include the claims made in the paper

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:10:14.590118Z

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This paper cites Limitations.

NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs Limitations

Reference 38

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NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs Guidelines: • The answer NA means that the paper does not include theoretical results

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:10:14.195105Z

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NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs Guidelines: • The answer NA means that the paper does not include experiments

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:10:14.022961Z

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NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs Guidelines: • The answer NA means that paper does not include experiments requiring code

Reference 41

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Observation 4cda5bd0-c57b-42bd-b9f9-dfbcca4868e4 · outbound

This paper cites • The experimental setting should be presented in the core of the paper to a level of detail that is necessary to appreciate the results and make sense of them.

NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs • The experimental setting should be presented in the core of the paper to a level of detail that is necessary to appreciate the results and make sense of them

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:10:13.471292Z

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Observation 95ad6811-1d70-40ee-885b-536f3792b1fb · outbound

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NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:10:13.252454Z

Source-reported events for the cited work

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Observation 8d5069c9-8a4c-44d5-9765-c1046a959de9 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include experiments.

NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs Guidelines: • The answer NA means that the paper does not include experiments

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:10:12.961913Z

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Observation c18cd3cc-1ec8-4e82-8a4c-6b47782e4c55 · outbound

This paper cites • If the authors answer No, they should explain the special circumstances that require a deviation from the Code of Ethics.

NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs • If the authors answer No, they should explain the special circumstances that require a deviation from the Code of Ethics

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:10:12.697352Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 552cc41d-e761-4150-aa3e-ade3876d7f16 · outbound

This paper cites Guidelines: • The answer NA means that there is no societal impact of the work performed.

NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs Guidelines: • The answer NA means that there is no societal impact of the work performed

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:10:12.588778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c50dc845-d037-4e87-a538-0e0e04189910 · outbound

This paper cites Guidelines: 27 • The answer NA means that the paper poses no such risks.

NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs Guidelines: 27 • The answer NA means that the paper poses no such risks

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:10:12.352195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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This paper cites Guidelines: • The answer NA means that the paper does not use existing assets.

NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs Guidelines: • The answer NA means that the paper does not use existing assets

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:10:12.109658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0706acf1-18a3-4d25-bc14-515fd66d735c · outbound

This paper cites The newly generated dataset is provided via an anonymized URL in Appendix ??.

NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs The newly generated dataset is provided via an anonymized URL in Appendix ??

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:10:11.756797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8d3362fb-2034-426d-8776-e434993aadc2 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects.

NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:10:11.389069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4543814d-5a99-4ad9-b0fe-9467d23a5711 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects.

NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:10:11.168637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6094cf84-433e-4036-aa69-b049d7bef579 · outbound

This paper cites Answer: [NA] Justification: The core method development in this paper does not involve LLMs as any important, original, or non-standard components.

NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs Answer: [NA] Justification: The core method development in this paper does not involve LLMs as any important, original, or non-standard components

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:10:10.866009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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