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:

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: 49

Showing 1-25 of 49 citing articles:

An ensemble method for short-term wind power prediction considering error correction strategy
Lin Ye, Binhua Dai, Zhuo Li, et al.
Applied Energy (2022) Vol. 322, pp. 119475-119475
Closed Access | Times Cited: 48
Self-adaptive discrete grey model based on a novel fractional order reverse accumulation sequence and its application in forecasting clean energy power generation in China
Yong Wang, Pei Chi, Rui Nie, et al.
Energy (2022) Vol. 253, pp. 124093-124093
Closed Access | Times Cited: 44
Hybrid Inception-embedded deep neural network ResNet for short and medium-term PV-Wind forecasting
Adeel Feroz Mirza, Majad Mansoor, Muhammad Usman, et al.
Energy Conversion and Management (2023) Vol. 294, pp. 117574-117574
Closed Access | Times Cited: 33
Forecasting China's electricity generation using a novel structural adaptive discrete grey Bernoulli model
Zhongsen Yang, Yong Wang, Ying Zhou, et al.
Energy (2023) Vol. 278, pp. 127824-127824
Closed Access | Times Cited: 24
Onshore and offshore wind power generation forecasting using a novel flexible time-varying fractional nonlinear grey model
Xuemei Li, Shiwei Zhou, Yufeng Zhao
Energy Conversion and Management (2023) Vol. 297, pp. 117695-117695
Closed Access | Times Cited: 21
A combined interval prediction system based on fuzzy strategy and neural network for wind speed
Yunbo Niu, Jianzhou Wang, Ziyuan Zhang, et al.
Applied Soft Computing (2024) Vol. 155, pp. 111408-111408
Closed Access | Times Cited: 9
Novel production prediction model of gasoline production processes for energy saving and economic increasing based on AM-GRU integrating the UMAP algorithm
Jintao Liu, Liangchao Chen, Wei Xu, et al.
Energy (2022) Vol. 262, pp. 125536-125536
Closed Access | Times Cited: 28
A novel Weighted Average Weakening Buffer Operator based Fractional order accumulation Seasonal Grouping Grey Model for predicting the hydropower generation
Zekai Li, Xi Hu, Huan Guo, et al.
Energy (2023) Vol. 277, pp. 127568-127568
Closed Access | Times Cited: 19
A novel selective ensemble system for wind speed forecasting: From a new perspective of multiple predictors for subseries
Sibo Yang, Wendong Yang, Xiaodi Wang, et al.
Energy Conversion and Management (2023) Vol. 294, pp. 117590-117590
Closed Access | Times Cited: 17
A reconstruction-based secondary decomposition-ensemble framework for wind power forecasting
Runkun Cheng, Di Yang, Da Liu, et al.
Energy (2024) Vol. 308, pp. 132895-132895
Closed Access | Times Cited: 5
Optimization of Hydro Generation and Load Forecasting Based On LSTNet
X.H. Du, Enzhi Zhang
Communications in computer and information science (2025), pp. 239-250
Closed Access
The Effect of the Reservoir Regulation Ability on the Water Consumption Rate During the Hydro–Wind–Photovoltaic Integration
Guanghui Li, Tian Yang, Yiming Ma, et al.
Water (2025) Vol. 17, Iss. 3, pp. 351-351
Open Access
Forecasting techniques for power systems with renewables
Paúl Arévalo, Darío Benavides, Danny Ochoa-Correa
Elsevier eBooks (2025), pp. 381-412
Closed Access
Incrementally trained short-term wind turbine power prediction model based on long short-term memory
Qihui Yu, Xiaohui Liu, Xin Tan, et al.
Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy (2025)
Closed Access
A Reinforcement Learning-Based Ensemble Forecasting Framework for Renewable Energy Forecasting
Zhiyuan Wu, Guohua Fang, Jian Ye, et al.
Renewable Energy (2025), pp. 122692-122692
Closed Access
The Impact of RES Development in Poland on the Change of the Energy Generation Profile and Reduction of CO2 Emissions
Jarosław Kulpa, Piotr Olczak, Kinga Stecuła, et al.
Applied Sciences (2022) Vol. 12, Iss. 21, pp. 11064-11064
Open Access | Times Cited: 14
Technical and practical application of integrated energy technology in smart community
Yahui Wang, Yong Li, Yijia Cao, et al.
Electric Power Systems Research (2024) Vol. 232, pp. 110422-110422
Closed Access | Times Cited: 2
Seasonal waste, geotherm, nuclear, wood net power generations forecasting using a novel hybrid grey model with seasonally buffered and time-varying effect
Xuemei Li, Yansong Shi, Yufeng Zhao, et al.
Applied Energy (2024) Vol. 368, pp. 123392-123392
Closed Access | Times Cited: 2
Capacity-Operation Collaborative Optimization for Wind-Solar-Hydrogen Multi-Energy Supply System
Lintong Liu, Rongrong Zhai, Yangdi Hu, et al.
Applied Sciences (2023) Vol. 13, Iss. 19, pp. 11011-11011
Open Access | Times Cited: 7
A Survey on Machine Learning Applications in Renewable Energies Forecasting
Milad Mohabbati
Power systems (2024), pp. 305-326
Closed Access | Times Cited: 1
Two-level deep learning ensemble model for forecasting hydroelectricity production
Njogho Kenneth Tebong, Théophile Simo, Armand Nzeukou Takougang
Energy Reports (2023) Vol. 10, pp. 2793-2803
Open Access | Times Cited: 4
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: 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
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
Page 1 - Next Page

Scroll to top