Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Time series forecasting using ensemble learning methods for emergency prevention in hydroelectric power plants with dam
Stéfano Frizzo Stefenon, Matheus Henrique Dal Molin Ribeiro, Ademir Nied, et al.
Electric Power Systems Research (2021) Vol. 202, pp. 107584-107584
Closed Access | Times Cited: 85

Showing 1-25 of 85 citing articles:

Efficient bootstrap stacking ensemble learning model applied to wind power generation forecasting
Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, Sinvaldo Rodrigues Moreno, et al.
International Journal of Electrical Power & Energy Systems (2021) Vol. 136, pp. 107712-107712
Closed Access | Times Cited: 119
Ensemble Learning for Disease Prediction: A Review
Palak Mahajan, Shahadat Uddin, Farshid Hajati, et al.
Healthcare (2023) Vol. 11, Iss. 12, pp. 1808-1808
Open Access | Times Cited: 93
Coalition-oriented strategic selection of renewable energy system alternatives using q-ROF DEMATEL with golden cut
Liangliang Sun, Jiayu Peng, Hasan Dınçer, et al.
Energy (2022) Vol. 256, pp. 124606-124606
Closed Access | Times Cited: 80
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: 66
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: 45
Experimental validation of multi-stage optimal energy management for a smart microgrid system under forecasting uncertainties
Saad Gheouany, Hamid Ouadi, F. Giri, et al.
Energy Conversion and Management (2023) Vol. 291, pp. 117309-117309
Closed Access | Times Cited: 41
Forecasting Solar Energy Production Using Machine Learning
C. Vennila, Anita Titus, T. Sri Sudha, et al.
International Journal of Photoenergy (2022) Vol. 2022, pp. 1-7
Open Access | Times Cited: 61
Fault Prediction Based on Leakage Current in Contaminated Insulators Using Enhanced Time Series Forecasting Models
Nemesio Fava Sopelsa Neto, Stéfano Frizzo Stefenon, Luiz Henrique Meyer, et al.
Sensors (2022) Vol. 22, Iss. 16, pp. 6121-6121
Open Access | Times Cited: 54
Low-Cost CNN for Automatic Violence Recognition on Embedded System
Joelton Cezar Vieira, Andreza Sartori, Stéfano Frizzo Stefenon, et al.
IEEE Access (2022) Vol. 10, pp. 25190-25202
Open Access | Times Cited: 52
Analysis of the Ultrasonic Signal in Polymeric Contaminated Insulators Through Ensemble Learning Methods
Stéfano Frizzo Stefenon, Rafael Bruns, Andreza Sartori, et al.
IEEE Access (2022) Vol. 10, pp. 33980-33991
Open Access | Times Cited: 49
Artificial Intelligence of Things Applied to Assistive Technology: A Systematic Literature Review
Maurício Pasetto de Freitas, Vinícius Aquino Piai, Ricardo Heffel Farias, et al.
Sensors (2022) Vol. 22, Iss. 21, pp. 8531-8531
Open Access | Times Cited: 39
Wavelet LSTM for Fault Forecasting in Electrical Power Grids
Nathielle Waldrigues Branco, Mariana Santos Matos Cavalca, Stéfano Frizzo Stefenon, et al.
Sensors (2022) Vol. 22, Iss. 21, pp. 8323-8323
Open Access | Times Cited: 37
CO and NOx emissions prediction in gas turbine using a novel modeling pipeline based on the combination of deep forest regressor and feature engineering
Leandro dos Santos Coelho, Helon Vicente Hultmann Ayala, Viviana Cocco Mariani
Fuel (2023) Vol. 355, pp. 129366-129366
Closed Access | Times Cited: 33
Spatial–temporal multi-feature fusion network for long short-term traffic prediction
Yan Wang, Qianqian Ren, Jinbao Li
Expert Systems with Applications (2023) Vol. 224, pp. 119959-119959
Closed Access | Times Cited: 26
One-step vs horizon-step training strategies for multi-step traffic flow forecasting with direct particle swarm optimization grid search support vector regression and long short-term memory
Mas Omar, Fitri Yakub, Shahrum Shah Abdullah, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124154-124154
Closed Access | Times Cited: 12
A Dam Safety State Prediction and Analysis Method Based on EMD-SSA-LSTM
Xin Yang, Yan Xiang, Yakun Wang, et al.
Water (2024) Vol. 16, Iss. 3, pp. 395-395
Open Access | Times Cited: 9
Enhancing hydroelectric inflow prediction in the Brazilian power system: A comparative analysis of machine learning models and hyperparameter optimization for decision support
Evandro Cardozo da Silva, Erlon Cristian Finardi, Stéfano Frizzo Stefenon
Electric Power Systems Research (2024) Vol. 230, pp. 110275-110275
Closed Access | Times Cited: 8
Performance discrepancy mitigation in heart disease prediction for multisensory inter-datasets
Mahmudul Hasan, Md Abdus Sahid, Md Palash Uddin, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1917-e1917
Open Access | Times Cited: 8
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: 7
Long short-term memory stacking model to predict the number of cases and deaths caused by COVID-19
Filipe Fernandes, Stéfano Frizzo Stefenon, Laio Oriel Seman, et al.
Journal of Intelligent & Fuzzy Systems (2021) Vol. 42, Iss. 6, pp. 6221-6234
Open Access | Times Cited: 42
An Architecture for Managing Data Privacy in Healthcare with Blockchain
Anubis Graciela de Moraes Rossetto, Christofer L. Sega, Valderi Reis Quietinho Leithardt
Sensors (2022) Vol. 22, Iss. 21, pp. 8292-8292
Open Access | Times Cited: 31
Deep learning ensembles for accurate fog-related low-visibility events forecasting
C. Peláez‐Rodríguez, Jorge Pérez‐Aracil, A. de Lopez-Diz, et al.
Neurocomputing (2023) Vol. 549, pp. 126435-126435
Open Access | Times Cited: 17
Enhanced multi-step streamflow series forecasting using hybrid signal decomposition and optimized reservoir computing models
José Henrique Kleinübing Larcher, Stéfano Frizzo Stefenon, Leandro dos Santos Coelho, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124856-124856
Closed Access | Times Cited: 6
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
Improving long-term multivariate time series forecasting with a seasonal-trend decomposition-based 2-dimensional temporal convolution dense network
Jianhua Hao, Liu Fang-ai
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Page 1 - Next Page

Scroll to top