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:

Probabilistic solar irradiance forecasting based on XGBoost
Xianglong Li, Longfei Ma, Ping Chen, et al.
Energy Reports (2022) Vol. 8, pp. 1087-1095
Open Access | Times Cited: 74

Showing 1-25 of 74 citing articles:

Probabilistic day-ahead prediction of PV generation. A comparative analysis of forecasting methodologies and of the factors influencing accuracy
Luca Massidda, Fabio Bettio, Marino Marrocu
Solar Energy (2024) Vol. 271, pp. 112422-112422
Closed Access | Times Cited: 26
Prediction of Anti-Corrosion performance of new triazole derivatives via Machine learning
Muhamad Akrom, Supriadi Rustad, Hermawan Kresno Dipojono
Computational and Theoretical Chemistry (2024) Vol. 1236, pp. 114599-114599
Closed Access | Times Cited: 23
Data-driven investigation to model the corrosion inhibition efficiency of Pyrimidine-Pyrazole hybrid corrosion inhibitors
Muhamad Akrom, Supriadi Rustad, Adhitya Gandaryus Saputro, et al.
Computational and Theoretical Chemistry (2023) Vol. 1229, pp. 114307-114307
Closed Access | Times Cited: 40
Short-term PV power forecast methodology based on multi-scale fluctuation characteristics extraction
Jiebei Zhu, Mingrui Li, Lin Luo, et al.
Renewable Energy (2023) Vol. 208, pp. 141-151
Closed Access | Times Cited: 25
Improving Solar PV Prediction Performance with RF-CatBoost Ensemble: A Robust and Complementary Approach
Rita Banik, Ankur Biswas
Renewable energy focus (2023) Vol. 46, pp. 207-221
Closed Access | Times Cited: 24
Effect of particle size on second law of thermodynamics analysis of Al2O3 nanofluid: Application of XGBoost and gradient boosting regression for prognostic analysis
Praveen Kumar Kanti, Mansoor Alruqi, H. A. Hanafi, et al.
International Journal of Thermal Sciences (2023) Vol. 197, pp. 108825-108825
Closed Access | Times Cited: 24
A complementary fused method using GRU and XGBoost models for long-term solar energy hourly forecasting
Yaojian Xu, Shaifeng Zheng, Qingling Zhu, et al.
Expert Systems with Applications (2024) Vol. 254, pp. 124286-124286
Closed Access | Times Cited: 13
A predictive machine learning model for estimating wave energy based on wave conditions relevant to coastal regions
Mohamed K. Hassan, Hamdy M. Youssef, Ibrahim M. Gaber, et al.
Results in Engineering (2024) Vol. 21, pp. 101734-101734
Open Access | Times Cited: 11
Harnessing AI for solar energy: Emergence of transformer models
Muhammad Fainan Hanif, Jianchun Mi
Applied Energy (2024) Vol. 369, pp. 123541-123541
Closed Access | Times Cited: 11
Design and Development of a Short-Term Photovoltaic Power Output Forecasting Method Based on Random Forest, Deep Neural Network and LSTM Using Readily Available Weather Features
Denis Rangelov, Michell Boerger, Nikolay Tcholtchev, et al.
IEEE Access (2023) Vol. 11, pp. 41578-41595
Open Access | Times Cited: 22
Forecasting solar energy production in Spain: A comparison of univariate and multivariate models at the national level
Tomás Cabello-López, Manuel Carranza-García, José C. Riquelme, et al.
Applied Energy (2023) Vol. 350, pp. 121645-121645
Open Access | Times Cited: 20
Development of advanced machine learning for prognostic analysis of drying parameters for banana slices using indirect solar dryer
Van Giao Nguyen, Prabhu Paramasivam, Marek Dzida, et al.
Case Studies in Thermal Engineering (2024) Vol. 60, pp. 104743-104743
Open Access | Times Cited: 7
Predicting Solar Proton Events of Solar Cycles 22–24 Using GOES Proton and Soft-X-Ray Flux Features
Aatiya Ali, Viacheslav M. Sadykov, А. Г. Косовичев, et al.
The Astrophysical Journal Supplement Series (2024) Vol. 270, Iss. 1, pp. 15-15
Open Access | Times Cited: 6
A multimodal deep learning approach for gravel road condition evaluation through image and audio integration
Nausheen Saeed, Moudud Alam, Roger G. Nyberg
Transportation Engineering (2024) Vol. 16, pp. 100228-100228
Open Access | Times Cited: 6
Machine learning of redundant energy of a solar PV Mini-grid system for cooking applications
Richard Opoku, Gidphil Mensah, Eunice Akyereko Adjei, et al.
Solar Energy (2023) Vol. 262, pp. 111790-111790
Closed Access | Times Cited: 14
Forecasting energy consumption and carbon dioxide emission of Vietnam by prognostic models based on explainable machine learning and time series
Thanh Tuan Le, Prabhakar Sharma, Sameh M. Osman, et al.
Clean Technologies and Environmental Policy (2024) Vol. 26, Iss. 12, pp. 4405-4431
Closed Access | Times Cited: 5
Enhancing Solar Forecasting Accuracy with Sequential Deep Artificial Neural Network and Hybrid Random Forest and Gradient Boosting Models across Varied Terrains
Muhammad Farhan Hanif, Muhammad Umar Siddique, Jicang Si, et al.
Advanced Theory and Simulations (2024) Vol. 7, Iss. 7
Closed Access | Times Cited: 5
Application of multi-source data fusion on intelligent prediction of photovoltaic power
Ling Tan, Ruixing Kang, Jingming Xia, et al.
Solar Energy (2024) Vol. 277, pp. 112706-112706
Closed Access | Times Cited: 5
A method for accurate prediction of photovoltaic power based on multi-objective optimization and data integration strategy
Guohui Li, Xuan Wei, Hong Yang
Applied Mathematical Modelling (2024) Vol. 136, pp. 115643-115643
Closed Access | Times Cited: 5
A hybrid ensemble learning framework for zero-energy potential prediction of photovoltaic direct-driven air conditioners
Chujie Lu, Sihui Li, Junhua Gu, et al.
Journal of Building Engineering (2022) Vol. 64, pp. 105602-105602
Closed Access | Times Cited: 21
Silver Price Forecasting Using Extreme Gradient Boosting (XGBoost) Method
Dylan Norbert Gono, Herlina Napitupulu, Firdaniza Firdaniza
Mathematics (2023) Vol. 11, Iss. 18, pp. 3813-3813
Open Access | Times Cited: 12
A structural depth network embedding stacking model based on Moran’s index and seasonal trend for short-term solar irradiance prediction
Zhijian Qu, Ting Li, Xinxing Hou, et al.
Energy Conversion and Management (2024) Vol. 308, pp. 118397-118397
Closed Access | Times Cited: 4
Deep reinforcement learning based interpretable photovoltaic power prediction framework
Rongquan Zhang, Siqi Bu, Min Zhou, et al.
Sustainable Energy Technologies and Assessments (2024) Vol. 67, pp. 103830-103830
Closed Access | Times Cited: 4
The balance issue of the proportion between new energy and traditional thermal power: An important issue under today's low-carbon goal in developing countries
Yunxiao Chen, Chaojing Lin, Yilan Zhang, et al.
Renewable Energy (2024) Vol. 231, pp. 121018-121018
Closed Access | Times Cited: 4
Explainable machine learning techniques for hybrid nanofluids transport characteristics: an evaluation of shapley additive and local interpretable model-agnostic explanations
Praveen Kumar Kanti, Prabhakar Sharma, V. Vicki Wanatasanappan, et al.
Journal of Thermal Analysis and Calorimetry (2024) Vol. 149, Iss. 21, pp. 11599-11618
Closed Access | Times Cited: 4
Page 1 - Next Page

Scroll to top