Paper Citation Record · LEDGER

Explaining deep neural network models for electricity price forecasting with XAI

As of 20 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2506.19894.

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2506.19894 v1

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Outbound references

Observation 68c0ecd3-0a5e-4e4c-abb2-47d2181ada30 · outbound

This paper cites Lessons learned from electricity market liberalization.

Explaining deep neural network models for electricity price forecasting with XAI Lessons learned from electricity market liberalization

Reference 1

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Observation 30433264-9e1d-4b1a-8096-0a418e1fc94b · outbound

This paper cites Market design and price behavior in restructured electricity mar- kets: An international comparison.

Explaining deep neural network models for electricity price forecasting with XAI Market design and price behavior in restructured electricity mar- kets: An international comparison

Reference 2

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Observation 30b0e006-1d12-4cd4-86f8-ee8a733fe774 · outbound

This paper cites Electricity markets around the world.

Explaining deep neural network models for electricity price forecasting with XAI Electricity markets around the world

Reference 3

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Observation a4645c54-712e-4467-aab6-7aec65095394 · outbound

This paper cites The merit order and price-setting dynamics in European electricity markets.

Explaining deep neural network models for electricity price forecasting with XAI The merit order and price-setting dynamics in European electricity markets

Reference 4

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Observation 5fc6ab3a-5f71-4064-96b7-8ca6cdb68b50 · outbound

This paper cites Why we need to stick with uniform-price auc- tions in electricity markets.

Explaining deep neural network models for electricity price forecasting with XAI Why we need to stick with uniform-price auc- tions in electricity markets

Reference 5

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Observation b777d68c-c9b5-47f0-832b-589d853de296 · outbound

This paper cites Electricity 2024: Analysis and forecast to 2026.

Explaining deep neural network models for electricity price forecasting with XAI Electricity 2024: Analysis and forecast to 2026

Reference 6

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Observation 7709feac-8de5-41ba-a63a-321a26916f7e · outbound

This paper cites A solution to global warming, air pollution, and energy insecurity for 149 countries.

Explaining deep neural network models for electricity price forecasting with XAI A solution to global warming, air pollution, and energy insecurity for 149 countries

Reference 7

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Observation b48ccbe6-138f-42b6-8e5d-7c4ebdb40c6c · outbound

This paper cites Forecasting Electricity Prices.

Explaining deep neural network models for electricity price forecasting with XAI Forecasting Electricity Prices

Reference 8

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Observation 69132f78-3a54-49b0-8fde-529a3a0c0793 · outbound

This paper cites Forecasting prices in electricity markets: Needs, tools and limitations.

Explaining deep neural network models for electricity price forecasting with XAI Forecasting prices in electricity markets: Needs, tools and limitations

Reference 9

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Observation 8403bfc9-3cd7-4352-8186-3fb369360564 · outbound

This paper cites ARIMA models to predict next- day electricity prices.

Explaining deep neural network models for electricity price forecasting with XAI ARIMA models to predict next- day electricity prices

Reference 10

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Observation 3e4fec0c-7d22-455b-a0bd-d62b801c73be · outbound

This paper cites Forecasting electricity prices for a day-ahead pool-based electric energy market.

Explaining deep neural network models for electricity price forecasting with XAI Forecasting electricity prices for a day-ahead pool-based electric energy market

Reference 11

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Observation df17a256-93b0-41e1-92ba-786bd041fa7a · outbound

This paper cites Electricity price forecasting in deregu- lated markets: A review and evaluation.

Explaining deep neural network models for electricity price forecasting with XAI Electricity price forecasting in deregu- lated markets: A review and evaluation

Reference 12

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Observation 5bc457f4-e658-41a6-94a7-851171f4fcc2 · outbound

This paper cites Electricity price forecasting: A review of the state-of-the-art with a look into the future.

Explaining deep neural network models for electricity price forecasting with XAI Electricity price forecasting: A review of the state-of-the-art with a look into the future

Reference 13

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This paper cites The state of the art electricity load and price forecasting for the modern whole- sale electricity market.

Explaining deep neural network models for electricity price forecasting with XAI The state of the art electricity load and price forecasting for the modern whole- sale electricity market

Reference 14

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Observation 646d19e0-e2aa-4231-be94-7aac9f8c27b1 · outbound

This paper cites Integrated forecasting method for wind energy management: A case study in China.

Explaining deep neural network models for electricity price forecasting with XAI Integrated forecasting method for wind energy management: A case study in China

Reference 15

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Observation d45eda68-1c5e-429b-bb70-73f8039ad32b · outbound

This paper cites Decomposition-selection-ensemble predic- tion system for short-term wind speed forecasting.

Explaining deep neural network models for electricity price forecasting with XAI Decomposition-selection-ensemble predic- tion system for short-term wind speed forecasting

Reference 16

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Observation b03c92f9-a988-4bf3-b010-7248e609b0f5 · outbound

This paper cites Hybrid model for profit-driven churn prediction based on cost minimization and return maximization.

Explaining deep neural network models for electricity price forecasting with XAI Hybrid model for profit-driven churn prediction based on cost minimization and return maximization

Reference 17

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Observation d76ce10f-3cb1-40bd-a666-3e1a9a62c8c4 · outbound

This paper cites Predicting dissolved oxygen level using Young’s double-slit experiment optimizer-based weighting model.

Explaining deep neural network models for electricity price forecasting with XAI Predicting dissolved oxygen level using Young’s double-slit experiment optimizer-based weighting model

Reference 18

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Observation ffab2f91-cc9c-4345-b105-0cc13a5c6ee6 · outbound

This paper cites Quantifying uncertainties of neural network-based electricity price forecasts.

Explaining deep neural network models for electricity price forecasting with XAI Quantifying uncertainties of neural network-based electricity price forecasts

Reference 19

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Observation 0f66c236-7fac-4d49-8694-263ff0f1f470 · outbound

This paper cites Forecasting spot electricity prices: Deep learning approaches and empirical comparison of traditional algorithms.

Explaining deep neural network models for electricity price forecasting with XAI Forecasting spot electricity prices: Deep learning approaches and empirical comparison of traditional algorithms

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This paper cites Benchmarking and Survey of Explanation Methods for Black Box Models.

Explaining deep neural network models for electricity price forecasting with XAI Benchmarking and Survey of Explanation Methods for Black Box Models

Reference 21

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Observation c6c83b4a-0692-4552-ae80-001a0b2da2ab · outbound

This paper cites Interpretable machine learning.

Explaining deep neural network models for electricity price forecasting with XAI Interpretable machine learning

Reference 22

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Observation e7dcb918-199b-4220-a74e-ffa102dbb3af · outbound

This paper cites Explainable artificial intelligence (XAI) techniques for energy and power sys- tems: Review, challenges and opportunities.

Explaining deep neural network models for electricity price forecasting with XAI Explainable artificial intelligence (XAI) techniques for energy and power sys- tems: Review, challenges and opportunities

Reference 23

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This paper cites A Unified Approach to Interpreting Model Predictions.

Explaining deep neural network models for electricity price forecasting with XAI A Unified Approach to Interpreting Model Predictions

Reference 24

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Observation bf802d4c-4046-4cd4-a7a4-57408c9ea94a · outbound

This paper cites ‘‘Why should i trust you?’’: Explaining the predictions of any classifier.

Explaining deep neural network models for electricity price forecasting with XAI ‘‘Why should i trust you?’’: Explaining the predictions of any classifier

Reference 25

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Observation cd7252cb-a5df-4514-a462-ba6498ad4a00 · outbound

This paper cites Explainable profit-driven hotel booking cancellation prediction based on heterogeneous stacking-based ensemble clas- sification.

Explaining deep neural network models for electricity price forecasting with XAI Explainable profit-driven hotel booking cancellation prediction based on heterogeneous stacking-based ensemble clas- sification

Reference 26

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Observation 3eeb9172-98ca-442a-a552-40d574fc3996 · outbound

This paper cites An improved and explainable electricity price forecasting model via SHAP- based error compensation approach.

Explaining deep neural network models for electricity price forecasting with XAI An improved and explainable electricity price forecasting model via SHAP- based error compensation approach

Reference 28

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This paper cites Random forests.

Explaining deep neural network models for electricity price forecasting with XAI Random forests

Reference 29

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Observation 56979533-f5c7-4c27-9d30-ea570294a165 · outbound

This paper cites All models are wrong, but many are useful: Learning a variable’s importance by studying an entire class of prediction models simultaneously.

Explaining deep neural network models for electricity price forecasting with XAI All models are wrong, but many are useful: Learning a variable’s importance by studying an entire class of prediction models simultaneously

Reference 30

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Observation f77a1789-95bf-42d7-8f56-cef51f0eec23 · outbound

This paper cites Understanding electricity prices beyond the merit order principle using explainable AI.

Explaining deep neural network models for electricity price forecasting with XAI Understanding electricity prices beyond the merit order principle using explainable AI

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Observation a41615b8-b4ce-4581-8cfe-5d0057db94d0 · outbound

This paper cites Consistent Individualized Feature Attribution for Tree Ensembles.

Explaining deep neural network models for electricity price forecasting with XAI Consistent Individualized Feature Attribution for Tree Ensembles

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Observation 272c7342-0c9d-4819-8321-616472347437 · outbound

This paper cites Bridging accuracy and explainabil- ity in electricity price forecasting.

Explaining deep neural network models for electricity price forecasting with XAI Bridging accuracy and explainabil- ity in electricity price forecasting

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Observation 17ad9c99-0c45-49d1-8a40-c8b29d8b9f80 · outbound

This paper cites Electricity price forecasting on the day-ahead market using machine learning.

Explaining deep neural network models for electricity price forecasting with XAI Electricity price forecasting on the day-ahead market using machine learning

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Observation 89b66aca-2838-4e89-ba1a-6932d29e6e01 · outbound

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

Explaining deep neural network models for electricity price forecasting with XAI Forecasting day-ahead elec- tricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark

Reference 35

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This paper cites The role of natural gas in setting elec- tricity prices in Europe.

Explaining deep neural network models for electricity price forecasting with XAI The role of natural gas in setting elec- tricity prices in Europe

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Explaining deep neural network models for electricity price forecasting with XAI Algorithms for hyper-parameter optimization

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This paper cites A value for n-person games (1953).

Explaining deep neural network models for electricity price forecasting with XAI A value for n-person games (1953)

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This paper cites True to the Model or True to the Data?.

Explaining deep neural network models for electricity price forecasting with XAI True to the Model or True to the Data?

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This paper cites Algorithms to estimate Shapley value feature attributions.

Explaining deep neural network models for electricity price forecasting with XAI Algorithms to estimate Shapley value feature attributions

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This paper cites Explaining prediction models and individual pre- dictions with feature contributions.

Explaining deep neural network models for electricity price forecasting with XAI Explaining prediction models and individual pre- dictions with feature contributions

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Observation a5077eb6-2564-49b3-809d-5defa3cb5806 · outbound

This paper cites Electricity price forecasting: The dawn of machine learning.

Explaining deep neural network models for electricity price forecasting with XAI Electricity price forecasting: The dawn of machine learning

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