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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:

Aggregating Prophet and Seasonal Trend Decomposition for Time Series Forecasting of Italian Electricity Spot Prices
Stéfano Frizzo Stefenon, Laio Oriel Seman, Viviana Cocco Mariani, et al.
Energies (2023) Vol. 16, Iss. 3, pp. 1371-1371
Open Access | Times Cited: 70

Showing 1-25 of 70 citing articles:

Optimized hybrid ensemble learning approaches applied to very short-term load forecasting
Marcos Yamasaki, Roberto Zanetti Freire, Laio Oriel Seman, et al.
International Journal of Electrical Power & Energy Systems (2023) Vol. 155, pp. 109579-109579
Open Access | Times Cited: 84
Optimized EWT-Seq2Seq-LSTM with Attention Mechanism to Insulators Fault Prediction
Anne Carolina Rodrigues Klaar, Stéfano Frizzo Stefenon, Laio Oriel Seman, et al.
Sensors (2023) Vol. 23, Iss. 6, pp. 3202-3202
Open Access | Times Cited: 54
Machine Fault Detection Using a Hybrid CNN-LSTM Attention-Based Model
Andressa Borré, Laio Oriel Seman, Eduardo Camponogara, et al.
Sensors (2023) Vol. 23, Iss. 9, pp. 4512-4512
Open Access | Times Cited: 52
Ensemble learning methods using the Hodrick–Prescott filter for fault forecasting in insulators of the electrical power grids
Laio Oriel Seman, Stéfano Frizzo Stefenon, Viviana Cocco Mariani, et al.
International Journal of Electrical Power & Energy Systems (2023) Vol. 152, pp. 109269-109269
Open Access | Times Cited: 46
Enhancing wind speed forecasting through synergy of machine learning, singular spectral analysis, and variational mode decomposition
Sinvaldo Rodrigues Moreno, Laio Oriel Seman, Stéfano Frizzo Stefenon, et al.
Energy (2024) Vol. 292, pp. 130493-130493
Closed Access | Times Cited: 46
Variational mode decomposition and bagging extreme learning machine with multi-objective optimization for wind power forecasting
Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, Sinvaldo Rodrigues Moreno, et al.
Applied Intelligence (2024) Vol. 54, Iss. 4, pp. 3119-3134
Closed Access | Times Cited: 23
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
Hypertuned temporal fusion transformer for multi-horizon time series forecasting of dam level in hydroelectric power plants
Stéfano Frizzo Stefenon, Laio Oriel Seman, Luiza Scapinello Aquino da Silva, et al.
International Journal of Electrical Power & Energy Systems (2024) Vol. 157, pp. 109876-109876
Open Access | Times Cited: 18
Structure Optimization of Ensemble Learning Methods and Seasonal Decomposition Approaches to Energy Price Forecasting in Latin America: A Case Study about Mexico
Anne Carolina Rodrigues Klaar, Stéfano Frizzo Stefenon, Laio Oriel Seman, et al.
Energies (2023) Vol. 16, Iss. 7, pp. 3184-3184
Open Access | Times Cited: 35
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
Modeling and forecasting electricity consumption amid the COVID-19 pandemic: Machine learning vs. nonlinear econometric time series models
Lanouar Charfeddine, Esmat Zaidan, Ahmad Qadeib Alban, et al.
Sustainable Cities and Society (2023) Vol. 98, pp. 104860-104860
Open Access | Times Cited: 28
Ai-driven innovations in greenhouse agriculture: Reanalysis of sustainability and energy efficiency impacts
Siamak Hoseinzadeh, Davide Astiaso Garcia
Energy Conversion and Management X (2024) Vol. 24, pp. 100701-100701
Open Access | Times Cited: 11
Powering Electricity Forecasting with Transfer Learning
Firuz Kamalov, Hana Sulieman, Sherif Moussa, et al.
Energies (2024) Vol. 17, Iss. 3, pp. 626-626
Open Access | Times Cited: 10
Seq2Seq-LSTM With Attention for Electricity Load Forecasting in Brazil
William Gouvêa Buratto, Rafael Ninno Muniz, Ademir Nied, et al.
IEEE Access (2024) Vol. 12, pp. 30020-30029
Open Access | Times Cited: 8
Can AI predict the impact of its implementation in greenhouse farming?
Siamak Hoseinzadeh, Davide Astiaso Garcia
Renewable and Sustainable Energy Reviews (2024) Vol. 197, pp. 114423-114423
Open Access | Times Cited: 8
Minute-level ultra-short-term power load forecasting based on time series data features
Chuang Wang, Haishen Zhao, Yang Liu, et al.
Applied Energy (2024) Vol. 372, pp. 123801-123801
Open Access | Times Cited: 8
LSTM vs. Prophet: Achieving Superior Accuracy in Dynamic Electricity Demand Forecasting
Saleh Albahli
Energies (2025) Vol. 18, Iss. 2, pp. 278-278
Open Access | Times Cited: 1
Short-term wind speed forecasting based on a novel KANInformer model and improved dual decomposition
Zhiyuan Leng, Chen Lü, Bin Yi, et al.
Energy (2025), pp. 135551-135551
Closed Access | Times Cited: 1
Group Method of Data Handling Using Christiano–Fitzgerald Random Walk Filter for Insulator Fault Prediction
Stéfano Frizzo Stefenon, Laio Oriel Seman, Nemesio Fava Sopelsa Neto, et al.
Sensors (2023) Vol. 23, Iss. 13, pp. 6118-6118
Open Access | Times Cited: 21
The Sustainability Concept: A Review Focusing on Energy
Rafael Ninno Muniz, Carlos Tavares da Costa Júnior, William Gouvêa Buratto, et al.
Sustainability (2023) Vol. 15, Iss. 19, pp. 14049-14049
Open Access | Times Cited: 19
OCR Applied for Identification of Vehicles with Irregular Documentation Using IoT
Luiz Alfonso Glasenapp, Aurélio Faustino Hoppe, Miguel Alexandre Wisintainer, et al.
Electronics (2023) Vol. 12, Iss. 5, pp. 1083-1083
Open Access | Times Cited: 17
Bootstrap aggregation with Christiano–Fitzgerald random walk filter for fault prediction in power systems
Nathielle Waldrigues Branco, Mariana Santos Matos Cavalca, Raúl García Ovejero
Electrical Engineering (2024) Vol. 106, Iss. 3, pp. 3657-3670
Closed Access | Times Cited: 5
Unveiling the hidden dynamics of intermittent surface water: A remote sensing framework
Zhen Xiao, Runkui Li, Mingjun Ding, et al.
Remote Sensing of Environment (2024) Vol. 311, pp. 114285-114285
Closed Access | Times Cited: 5
Analyzing and forecasting poultry meat production and export volumes in Thailand: a time series approach
Kunnanut Klaharn, Rakthai Ngampak, Yupha Chudam, et al.
Cogent Food & Agriculture (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 4
Hypertuned wavelet convolutional neural network with long short-term memory for time series forecasting in hydroelectric power plants
Stéfano Frizzo Stefenon, Laio Oriel Seman, Evandro Cardozo da Silva, et al.
Energy (2024), pp. 133918-133918
Closed Access | Times Cited: 4
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