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:

A novel ensemble model for long-term forecasting of wind and hydro power generation
Priyanka Malhan, Monika Mittal
Energy Conversion and Management (2021) Vol. 251, pp. 114983-114983
Closed Access | Times Cited: 52

Showing 26-50 of 52 citing articles:

A Survey on Machine Learning Applications in Renewable Energies Forecasting
Milad Mohabbati
Power systems (2024), pp. 305-326
Closed Access | Times Cited: 1

Wind-storage combined system based on just-in-time-learning prediction model with dynamic error compensation
Wei Yang, Li Jia, Yue Xu, et al.
Journal of Energy Storage (2023) Vol. 68, pp. 107658-107658
Open Access | Times Cited: 3

Predicting Energy Generation in Large Wind Farms: A Data-Driven Study with Open Data and Machine Learning
Matheus de Paula, Wallace Casaca, Marilaine Colnago, et al.
Inventions (2023) Vol. 8, Iss. 5, pp. 126-126
Open Access | Times Cited: 2

Offshore wind power output prediction based on convolutional attention mechanism
Pingping Xie, Yang Liu, Yinguo Yang, et al.
Energy Sources Part A Recovery Utilization and Environmental Effects (2023) Vol. 45, Iss. 4, pp. 13041-13056
Closed Access | Times Cited: 2

Local and Long-range Convolutional LSTM Network: A novel multi-step wind speed prediction approach for modeling local and long-range spatial correlations based on ConvLSTM
Mei Yu, Boan Tao, Xuewei Li, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107613-107613
Closed Access | Times Cited: 2

Comparison of Decomposition-based Machine Learning Models for Multi-step Time Series Forecasting of Wind Power Generation
Priyanka Malhan, Monika Mittal
2021 IEEE 2nd International Conference On Electrical Power and Energy Systems (ICEPES) (2021)
Closed Access | Times Cited: 4

Data-driven Models for Wind Speed Forecasting in Malacca State
Basri Badyalina, Nurkhairany Amyra Mokhtar, Ahmad Izul Fakhruddin Azimi, et al.
MATEMATIKA (2022), pp. 125-139
Open Access | Times Cited: 3

Simulation of emission reduction path under the path of differentiated energy transformation in China’s industrial cities: a case study of Shanghai
Wenyi Wang, Yanran Chen, Yiming Huang
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 11, pp. 17005-17017
Closed Access

Estimates of hydroelectric energy generation in BRICS-T countries using a new hybrid model
Ergun Uzlu
Energy Sources Part B Economics Planning and Policy (2024) Vol. 19, Iss. 1
Closed Access

Envisioning India's Energy Future: Predictive Models for Power Generation Trends
Naveenkumar Anbalagan, J Akilandeswari., V Mouliraj., et al.
2021 International Conference on Emerging Smart Computing and Informatics (ESCI) (2024), pp. 1-6
Closed Access

Parabolic Modeling Forecasts of Space and Time European Hydropower Production
Cristina Lincaru, Adriana Grigorescu, Hasan Dınçer
Processes (2024) Vol. 12, Iss. 6, pp. 1098-1098
Open Access

Forecasting of hydrodynamic scheduling requirements for electric fields under extreme operating conditions
Qiuwen Li, Dong Mo, Yan Sun, et al.
Electric Power Systems Research (2024) Vol. 234, pp. 110543-110543
Closed Access

One-Step Ahead Short-Term Hourly Global Solar Radiation Forecasting with A Dynamical System Based on Classification of Days
Jing Huang, C. Z. Yuan, John Boland, et al.
Renewable Energy (2024), pp. 121639-121639
Closed Access

Installation and Management of Regulation Systems of a Hydroelectric Power Plant with Doubly Fed Induction Generator and Results of a Case Study
Francisco Javier Balbás García, José Ramón Aranda, Cristina Rodríguez
Energies (2024) Vol. 17, Iss. 22, pp. 5556-5556
Open Access

Forecasting Hydropower with Innovation Diffusion Models: A Cross-Country Analysis
Farooq Ahmad, Livio Finos, Mariangela Guidolin
Forecasting (2024) Vol. 6, Iss. 4, pp. 1045-1064
Open Access

Medium-Term Wind Power Forecasting based on Dynamic Self-Attention Mechanism
Fuhao Chen, Jie Yan, Lina Bertling Tjernberg, et al.
(2023), pp. 1-5
Closed Access | Times Cited: 1

Developing a Novel Long Short-Term Memory Networks with Seasonal Wavelet Transform for Long-Term Wind Power Output Forecasting
Kuen‐Suan Chen, Ting‐Yu Lin, Kuo-Ping Lin, et al.
International Journal of Computational Intelligence Systems (2023) Vol. 16, Iss. 1
Open Access | Times Cited: 1

Series Hybridization of Parallel (SHOP) models for time series forecasting
Zahra Hajirahimi, Mehdi Khashei
Physica A Statistical Mechanics and its Applications (2022) Vol. 596, pp. 127173-127173
Closed Access | Times Cited: 2

A novel discriminated deep learning ensemble paradigm based on joint feature contribution for wind speed forecasting
Jujie Wang, Dongming Gao, Yu Chen
Energy Conversion and Management (2022) Vol. 270, pp. 116187-116187
Closed Access | Times Cited: 2

Hybrid Techniques for Renewable Energy Prediction
Guilherme Santos Martins, Mateus Giesbrecht
Lecture notes in electrical engineering (2023), pp. 29-59
Closed Access

Generation Prediction for Hydropower Considering the Coupling Effect of Adjacent Plants
Haifeng Zhang, Xiaodong Shen, Yang Wang, et al.
(2023), pp. 1967-1971
Closed Access

An intuitive unified hybrid approach for medium to long-term forecasting of different renewable energy sources
Priyanka Malhan, Monika Mittal
International Journal of Ambient Energy (2023) Vol. 45, Iss. 1
Closed Access

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