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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:

High-Resolution Electricity Spot Price Forecast for the Danish Power Market
Jannik Schütz Roungkvist, Peter Enevoldsen, George Xydis
Sustainability (2020) Vol. 12, Iss. 10, pp. 4267-4267
Open Access | Times Cited: 17

Showing 17 citing articles:

When pandemics impact economies and climate change: Exploring the impacts of COVID-19 on oil and electricity demand in China
Nima Norouzi, Gerardo Zarazua de Rubens, Saeed Choupanpiesheh, et al.
Energy Research & Social Science (2020) Vol. 68, pp. 101654-101654
Open Access | Times Cited: 294
Electricity price forecasting with high penetration of renewable energy using attention-based LSTM network trained by crisscross optimization
Anbo Meng, Peng Wang, Guangsong Zhai, et al.
Energy (2022) Vol. 254, pp. 124212-124212
Closed Access | Times Cited: 90
Forecasts of China Mainland New Energy Index Prices through Gaussian Process Regressions
Bingzi Jin, Xiaojie Xu
Deleted Journal (2024) Vol. 01
Closed Access | Times Cited: 20
China mainland new energy index price forecasting with the neural network
Xiaojie Xu, Yun Zhang
Energy Nexus (2023) Vol. 10, pp. 100210-100210
Open Access | Times Cited: 34
Energy cost reduction by shifting electricity demand in indoor vertical farms with artificial lighting
Dafni Despoina Avgoustaki, George Xydis
Biosystems Engineering (2021) Vol. 211, pp. 219-229
Open Access | Times Cited: 53
Regime switching effect of COVID-19 pandemic on renewable electricity generation in Denmark
Muhammad Ibrahim Shah, Derviş Kırıkkaleli, Festus Fatai Adedoyin
Renewable Energy (2021) Vol. 175, pp. 797-806
Open Access | Times Cited: 31
Model-based deep reinforcement learning for wind energy bidding
Manassakan Sanayha, Peerapon Vateekul
International Journal of Electrical Power & Energy Systems (2021) Vol. 136, pp. 107625-107625
Closed Access | Times Cited: 24
Forecasting Imbalance Price Densities With Statistical Methods and Neural Networks
Vighnesh Natarajan Ganesh, Derek W. Bunn
IEEE Transactions on Energy Markets Policy and Regulation (2023) Vol. 2, Iss. 1, pp. 30-39
Closed Access | Times Cited: 4
Performance of the autoregressive integrated moving average model with exogenous variables statistical model on the intraday market for the Denmark-West bidding area
Marko Lucic, George Xydis
Energy & Environment (2023)
Closed Access | Times Cited: 4
Usage of Methanol Fuel Cells to Reduce Power Outages in the Etelä-Savo Region, Finland
Pedro Gomez Hernandez, Thomas Leopold Berg, George Xydis
Environments (2023) Vol. 10, Iss. 6, pp. 96-96
Open Access | Times Cited: 3
A Joint Optimization Algorithm for Renewable Energy System
Imran Khan
Intelligent Automation & Soft Computing (2023) Vol. 36, Iss. 2, pp. 1979-1989
Open Access | Times Cited: 3
Considerations Regarding the Negative Prices on the Electricity Market
Pavel Atănăsoae, Radu Dumitru Pentiuc, Eugen Hopulele
(2020), pp. 26-26
Open Access | Times Cited: 7
The Investigation of Monthly/Seasonal Data Clustering Impact on Short-Term Electricity Price Forecasting Accuracy: Ontario Province Case Study
Nazila Pourhaji, Mohammad Asadpour, Ali Ahmadian, et al.
Sustainability (2022) Vol. 14, Iss. 5, pp. 3063-3063
Open Access | Times Cited: 3
Analysis of Risk Characterization and Identification Techniques for Electricity Spot Settlement Based on Multilayer Perceptron Machine
Ruiqin Duan, Xinchun Zhu, Shuangquan Liu, et al.
Applied Mathematics and Nonlinear Sciences (2024) Vol. 9, Iss. 1
Open Access
Developing Two RNN-Based Algorithms for Electricity Price Forecasting in Markets with High Penetration of Renewable Energy Resources
Robin Kock, Zohreh Kaheh, Miadreza Shafie-khah
2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM) (2024), pp. 1266-1270
Closed Access
Electricity Price Evolution and the Disruptive Economic and Geopolitical Context on the Spot Market. A Romanian Case Study
Adela Bârã, Simona‐Vasilica Oprea, Andreea-Mihaela Niculae
New Trends in Sustainable Business and Consumption (2023), pp. 131-138
Open Access
Deep reinforcement learning for electricity energy trading
Manassakan Sanayha
(2022)
Open Access
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