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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Understanding electricity prices beyond the merit order principle using explainable AI
Julius Trebbien, Leonardo Rydin Gorjão, Aaron Praktiknjo, et al.
Energy and AI (2023) Vol. 13, pp. 100250-100250
Open Access | Times Cited: 25

Showing 25 citing articles:

Potential of Explainable Artificial Intelligence in Advancing Renewable Energy: Challenges and Prospects
Van Nhanh Nguyen, W. Tarełko, Prabhakar Sharma, et al.
Energy & Fuels (2024) Vol. 38, Iss. 3, pp. 1692-1712
Closed Access | Times Cited: 45
Multivariate probabilistic forecasting of intraday electricity prices using normalizing flows
Eike Cramer, Dirk Witthaut, Alexander Mitsos, et al.
Applied Energy (2023) Vol. 346, pp. 121370-121370
Open Access | Times Cited: 24
Improving the prediction of biochar production from various biomass sources through the implementation of eXplainable machine learning approaches
Van Giao Nguyen, Prabhakar Sharma, Ümit Ağbulut, et al.
International Journal of Green Energy (2024) Vol. 21, Iss. 12, pp. 2771-2798
Closed Access | Times Cited: 8
The scheduling role of future pricing information in electricity markets with rising deployments of energy storage: An Australian National Electricity Market case study
Abhijith Prakash, Anna Bruce, Iain MacGill
Energy Economics (2025), pp. 108191-108191
Open Access
A Review on Socio-technical Transition Pathway to European Super Smart Grid: Trends, Challenges and Way Forward via Enabling Technologies
Herman Zahid, Adil Zulfiqar, Muhammad Adnan Khan, et al.
Results in Engineering (2025), pp. 104155-104155
Open Access
Using Explainable Artificial Intelligence (XAI) to Predict the Influence of Weather on the Thermal Soaring Capabilities of Sailplanes for Smart City Applications
Maren Schnieder
Smart Cities (2024) Vol. 7, Iss. 1, pp. 163-178
Open Access | Times Cited: 4
Machine Learning Algorithms for Power System Sign Classification and a Multivariate Stacked LSTM Model for Predicting the Electricity Imbalance Volume
Adela Bârã, Simona‐Vasilica Oprea
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 3
A black-box adversarial attack on demand side management
Eike Cramer, Ji Gao
Computers & Chemical Engineering (2024) Vol. 186, pp. 108681-108681
Open Access | Times Cited: 3
Modeling and optimization of renewable hydrogen systems: A systematic methodological review and machine learning integration
Mulako Dean Mukelabai, Edward Barbour, Robert E. Blanchard
Energy and AI (2024), pp. 100455-100455
Open Access | Times Cited: 3
Using machine learning to expound energy poverty in the global south: Understanding and predicting access to cooking with clean energy
Mulako Dean Mukelabai, K. G. Upul Wijayantha, Robert E. Blanchard
Energy and AI (2023) Vol. 14, pp. 100290-100290
Open Access | Times Cited: 9
Multivariate scenario generation of day-ahead electricity prices using normalizing flows
Hannes Hilger, Dirk Witthaut, Manuel Dahmen, et al.
Applied Energy (2024) Vol. 367, pp. 123241-123241
Open Access | Times Cited: 2
Explainability-based Trust Algorithm for electricity price forecasting models
Leena Heistrene, Ram Machlev, Michael Perl, et al.
Energy and AI (2023) Vol. 14, pp. 100259-100259
Open Access | Times Cited: 5
An ensemble approach for enhanced Day-Ahead price forecasting in electricity markets
Alkiviadis Kitsatoglou, Giannis Georgopoulos, Panagiotis Papadopoulos, et al.
Expert Systems with Applications (2024) Vol. 256, pp. 124971-124971
Closed Access | Times Cited: 1
Probabilistic Forecasting of Day-Ahead Electricity Prices and their Volatility with LSTMs
Julius Trebbien, Sebastian Pütz, Benjamin Schäfer, et al.
2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe) (2023), pp. 1-5
Open Access | Times Cited: 2
PV-OPTIM: A Software Architecture and Functionalities for Prosumers
Adela Bârã, Simona‐Vasilica Oprea
Electronics (2023) Vol. 13, Iss. 1, pp. 161-161
Open Access | Times Cited: 2
The Scheduling Role of Future Pricing Information in Electricity Markets with Rising Deployments of Renewables and Energy Storage: An Australian National Electricity Market Case Study
Abhijith Prakash, Anna Bruce, Iain MacGill
(2024)
Closed Access
Logic-based explanations of imbalance price forecasts using boosted trees
Jérémie Bottieau, Gilles Audemard, Steve Bellart, et al.
Electric Power Systems Research (2024) Vol. 235, pp. 110699-110699
Closed Access
Patterns and correlations in European electricity prices
Julius Trebbien, A. Tausendfreund, Leonardo Rydin Gorjão, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2024) Vol. 34, Iss. 7
Closed Access
Probabilistic Forecasting of Multiple Plant Day-ahead Renewable Power Generation Sequences with Data Privacy Preserving
Hong Liu, Zijun Zhang
Energy and AI (2024), pp. 100463-100463
Open Access
Study on the Application of Meteorological Data Based on K-Means Method to Highway Wind-Blown Sand Protection
Yu Sun, Yanbin Zhou, Jiang Hua, et al.
Frontiers in artificial intelligence and applications (2024)
Open Access
Interpretable Artificial Intelligence Evolved Policies Applied in Renewable Energy Trading
Konstantinos Parginos, Ricardo J. Bessa, Simon Camal, et al.
(2024)
Closed Access
Intelligent Identification of Dangerous Behaviors in Power Production Based on Gaussian Convolutional Deep Belief Network
Xin Wan, Chunhua Tao, Min Liu, et al.
(2024), pp. 01-05
Closed Access
Applying machine learning to electricity price forecasting in simulated energy market scenarios
Felix Nitsch, Christoph Schimeczek, Valentin Bertsch
Energy Reports (2024) Vol. 12, pp. 5268-5279
Closed Access
An Ensemble Approach for Enhanced Day-Ahead Forecasting in Electricity Markets
Alkiviadis Kitsatoglou, Giannis Georgopoulos, Panos Papadopoulos, et al.
(2023)
Closed Access | Times Cited: 1
Optimal Electricity Supply System Based on the Clean Energy Transition
Conny K. Wachjoe, Hermagasantos Zein, Yanti Suprianti, et al.
(2023), pp. 29-34
Closed Access | Times Cited: 1
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