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:

An evolutionary robust solar radiation prediction model based on WT-CEEMDAN and IASO-optimized outlier robust extreme learning machine
Chu Zhang, Lei Hua, Chunlei Ji, et al.
Applied Energy (2022) Vol. 322, pp. 119518-119518
Closed Access | Times Cited: 64

Showing 26-50 of 64 citing articles:

Decomposition prediction fractional-order PID reinforcement learning for short-term smart generation control of integrated energy systems
Linfei Yin, Da Zheng
Applied Energy (2023) Vol. 355, pp. 122246-122246
Closed Access | Times Cited: 9
Global horizontal irradiance prediction model considering the effect of aerosol optical depth based on the Informer model
Xiuyan Gao, Liu Jie-Mei, Yuan Yuan, et al.
Renewable Energy (2023) Vol. 220, pp. 119671-119671
Closed Access | Times Cited: 9
Sky-Image-Derived Deep Decomposition for Ultra-Short-Term Photovoltaic Power Forecasting
Jingxuan Liu, Haixiang Zang, Tao Ding, et al.
IEEE Transactions on Sustainable Energy (2023) Vol. 15, Iss. 2, pp. 871-883
Closed Access | Times Cited: 7
Interval prediction of PV power based on double sample entropy framework and integrated bidomain decomposition deep learning
Houkang Fang, Qinmu Wu, Yihui Zhang
IET Renewable Power Generation (2024) Vol. 18, Iss. 6, pp. 979-989
Open Access | Times Cited: 2
Wear fault diagnosis in hydro-turbine via the incorporation of the IWSO algorithm optimized CNN-LSTM neural network
Fang Dao, Yun Zeng, Yidong Zou, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 2
Metaheuristic Algorithms for Solar Radiation Prediction: A Systematic Analysis
Sergio A. Pérez-Rodríguez, José M. Álvarez-Alvarado, Julio-Alejandro Romero-González, et al.
IEEE Access (2024) Vol. 12, pp. 100134-100151
Open Access | Times Cited: 2
Deep learning hybrid models with multivariate variational mode decomposition for estimating daily solar radiation
Shahab S. Band, Sultan Noman Qasem, Rasoul Ameri, et al.
Alexandria Engineering Journal (2024) Vol. 105, pp. 613-625
Open Access | Times Cited: 2
A combined model based on decomposition and reorganization, weight optimization algorithms for carbon price point and interval prediction
Xiaobing Yu, Nijun Jiang, Wen Zhang
Journal of Cleaner Production (2024) Vol. 472, pp. 143445-143445
Closed Access | Times Cited: 2
Enhancing solar radiation prediction accuracy: A hybrid machine learning approach integrating response surface method and support vector regression
Rana Muhammad Adnan, Behrooz Keshtegar, Mona Abusurrah, et al.
Ain Shams Engineering Journal (2024), pp. 103034-103034
Open Access | Times Cited: 2
Modelling coagulant dosage in drinking water treatment plant using advance machine learning model: Hybrid extreme learning machine optimized by Bat algorithm
Hemza Boumezbeur, Fares Laouacheria, Salim Heddam, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 28, pp. 72463-72483
Closed Access | Times Cited: 6
A new machine learning-based approach for cross-region coupled wind-storage integrated systems identification considering electricity demand response and data integration: A new provincial perspective of China
Xidong Zheng, Sheng Zhou, Tao Jin
Energy (2023) Vol. 283, pp. 129141-129141
Closed Access | Times Cited: 5
An integrated skip convolutional network with residual learning and feature extraction for point and interval prediction of solar radiation
Xiaojing Sun, Wei Liu, Kang Wang, et al.
Applied Soft Computing (2024) Vol. 159, pp. 111621-111621
Closed Access | Times Cited: 1
Dynamic Combination Forecasting for Short-Term Photovoltaic Power
Yu Huang, Jiaxing Liu, Zongshi Zhang, et al.
IEEE Transactions on Artificial Intelligence (2024) Vol. 5, Iss. 10, pp. 5277-5289
Closed Access | Times Cited: 1
Enhancing multi-step short-term solar radiation forecasting based on optimized generalized regularized extreme learning machine and multi-scale Gaussian data augmentation technique
Zheng Wang, Peng Tian, Xuedong Zhang, et al.
Applied Energy (2024) Vol. 377, pp. 124708-124708
Closed Access | Times Cited: 1
Wear fault diagnosis in hydro-turbine via the incorporation of the IWSO algorithm optimized CNN-LSTM neural network
Fang Dao, Yun Zeng, Yidong Zou, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Domain Hybrid Day-Ahead Solar Radiation Forecasting Scheme
Jinwoong Park, Sungwoo Park, Jonghwa Shim, et al.
Remote Sensing (2023) Vol. 15, Iss. 6, pp. 1622-1622
Open Access | Times Cited: 3
A Short-Term Prediction Model of Wind Power with Outliers: An Integration of Long Short-Term Memory, Ensemble Empirical Mode Decomposition, and Sample Entropy
Yuanzhuo Du, Kun Zhang, Qianzhi Shao, et al.
Sustainability (2023) Vol. 15, Iss. 7, pp. 6285-6285
Open Access | Times Cited: 3
Mapping Prediction of Surface Solar Radiation with Linear Regression Models: Case Study over Reunion Island
Qi Li, Miloud Bessafi, Li Peng
Atmosphere (2023) Vol. 14, Iss. 9, pp. 1331-1331
Open Access | Times Cited: 3
A Novel Non-Ferrous Metals Price Forecast Model Based on LSTM and Multivariate Mode Decomposition
Zhanglong Li, Yunlei Yang, Yinghao Chen, et al.
Axioms (2023) Vol. 12, Iss. 7, pp. 670-670
Open Access | Times Cited: 2
Short-term power forecasting of fishing-solar complementary photovoltaic power station based on a data-driven model
Jiahui Wang, Qianxi Zhang, Shishi Li, et al.
Energy Reports (2023) Vol. 10, pp. 1851-1863
Open Access | Times Cited: 2
Forecasting model for short-term wind speed using robust local mean decomposition, deep neural networks, intelligent algorithm, and error correction
Jiawen Li, Minghao Liu, Lei Wen
Frontiers in Energy Research (2024) Vol. 11
Open Access
Research on ultra-short-term load forecasting method of oil and gas field integrated energy system based on hybrid neural network
Zhao Zhang, Dezhi Dong, Lili Lv, et al.
Research Square (Research Square) (2024)
Open Access
MAO-DBN based membrane fouling prediction
Zhiwen Wang, Yibin Zhao, Yaoke Shi, et al.
Journal of Intelligent & Fuzzy Systems (2024) Vol. 46, Iss. 4, pp. 10923-10939
Closed Access
A hybrid neural network based solar PV power classification with time series data for bend, Oregon
Sasmita Subhadarsinee Choudhury, P.K. Dash
International Journal of Green Energy (2024) Vol. 21, Iss. 12, pp. 2753-2770
Closed Access
A Multi-scale Hybrid Wind Power Prediction Model Based on LSSVR-RELM-Multi-Head Attention-BiGRU and Data Decomposition
Yuan Sun, Shiyang Zhang
(2024)
Open Access

Scroll to top