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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:

Hour-ahead photovoltaic generation forecasting method based on machine learning and multi objective optimization algorithm
Jianzhou Wang, Yilin Zhou, Zhiwu Li
Applied Energy (2022) Vol. 312, pp. 118725-118725
Closed Access | Times Cited: 67

Showing 1-25 of 67 citing articles:

Improved multistep ahead photovoltaic power prediction model based on LSTM and self-attention with weather forecast data
Zehuan Hu, Yuan Gao, Siyu JI, et al.
Applied Energy (2024) Vol. 359, pp. 122709-122709
Closed Access | Times Cited: 69
Multi-scale solar radiation and photovoltaic power forecasting with machine learning algorithms in urban environment: A state-of-the-art review
Jia Tian, Ryozo Ooka, Doyun Lee
Journal of Cleaner Production (2023) Vol. 426, pp. 139040-139040
Closed Access | Times Cited: 48
A wind speed forecasting system for the construction of a smart grid with two-stage data processing based on improved ELM and deep learning strategies
Jianzhou Wang, Xinsong Niu, Lifang Zhang, et al.
Expert Systems with Applications (2023) Vol. 241, pp. 122487-122487
Closed Access | Times Cited: 42
Multivariate selection-combination short-term wind speed forecasting system based on convolution-recurrent network and multi-objective chameleon swarm algorithm
Jianzhou Wang, Mengzheng Lv, Zhiwu Li, et al.
Expert Systems with Applications (2022) Vol. 214, pp. 119129-119129
Closed Access | Times Cited: 63
Short-term photovoltaic power forecasting based on signal decomposition and machine learning optimization
Yilin Zhou, Jianzhou Wang, Zhiwu Li, et al.
Energy Conversion and Management (2022) Vol. 267, pp. 115944-115944
Closed Access | Times Cited: 60
A novel wind power prediction approach using multivariate variational mode decomposition and multi-objective crisscross optimization based deep extreme learning machine
Anbo Meng, Zibin Zhu, Weisi Deng, et al.
Energy (2022) Vol. 260, pp. 124957-124957
Closed Access | Times Cited: 45
A novel combined forecasting model based on neural networks, deep learning approaches, and multi-objective optimization for short-term wind speed forecasting
Jianzhou Wang, Yining An, Zhiwu Li, et al.
Energy (2022) Vol. 251, pp. 123960-123960
Closed Access | Times Cited: 44
Memory long and short term time series network for ultra-short-term photovoltaic power forecasting
Congzhi Huang, Mengyuan Yang
Energy (2023) Vol. 279, pp. 127961-127961
Closed Access | Times Cited: 39
Scenario-based multi-objective optimization strategy for rural PV-battery systems
Yuan Zhi, Xudong Yang
Applied Energy (2023) Vol. 345, pp. 121314-121314
Closed Access | Times Cited: 34
A distributed multi-objective optimization method for scheduling of integrated electricity and hydrogen systems
Yi Yuan, Tao Ding, Xinyue Chang, et al.
Applied Energy (2023) Vol. 355, pp. 122287-122287
Closed Access | Times Cited: 29
A novel interval forecasting system based on multi-objective optimization and hybrid data reconstruct strategy
Jianzhou Wang, Yilin Zhou, He Jiang
Expert Systems with Applications (2023) Vol. 217, pp. 119539-119539
Closed Access | Times Cited: 26
Multi-dimensional comparison and multi-objective optimization of geothermal-assisted Carnot battery for photovoltaic load shifting
Zixiang Su, Liu Yang, Jianzhong Song, et al.
Energy Conversion and Management (2023) Vol. 289, pp. 117156-117156
Closed Access | Times Cited: 24
Prediction of Photovoltaic power generation and analyzing of carbon emission reduction capacity in China
Bingchun Liu, Xiankai Huo
Renewable Energy (2024) Vol. 222, pp. 119967-119967
Closed Access | Times Cited: 15
Multi-objective optimization model for railway heavy-haul traffic: Addressing carbon emissions reduction and transport efficiency improvement
Ai-Qing Tian, Xiao-Yang Wang, Heying Xu, et al.
Energy (2024) Vol. 294, pp. 130927-130927
Closed Access | Times Cited: 15
A cross-sectional survey of deterministic PV power forecasting: Progress and limitations in current approaches
Andreea Săbăduş, Robert Blaga, Sergiu-Mihai Hategan, et al.
Renewable Energy (2024) Vol. 226, pp. 120385-120385
Closed Access | Times Cited: 14
A hybrid machine learning forecasting model for photovoltaic power
Zhijian Hou, Yunhui Zhang, Qian Liu, et al.
Energy Reports (2024) Vol. 11, pp. 5125-5138
Open Access | Times Cited: 11
Short-term photovoltaic power prediction based on RF-SGMD-GWO-BiLSTM hybrid models
Shaomei Yang, Y. Luo
Energy (2025), pp. 134545-134545
Closed Access | Times Cited: 1
Short-term photovoltaic power prediction based on modal reconstruction and hybrid deep learning model
Zheng Li, Ruosi Xu, Xiaorui Luo, et al.
Energy Reports (2022) Vol. 8, pp. 9919-9932
Open Access | Times Cited: 34
The influence of international oil prices on the exchange rates of oil exporting countries: Based on the hybrid copula function
Jianzhou Wang, Xinsong Niu, Lifang Zhang, et al.
Resources Policy (2022) Vol. 77, pp. 102734-102734
Closed Access | Times Cited: 33
Short-term prediction of the power of a new wind turbine based on IAO-LSTM
Zheng Li, Xiaorui Luo, Mengjie Liu, et al.
Energy Reports (2022) Vol. 8, pp. 9025-9037
Open Access | Times Cited: 33
Intermittent solar power hybrid forecasting system based on pattern recognition and feature extraction
Yue Yu, Tong Niu, Jianzhou Wang, et al.
Energy Conversion and Management (2022) Vol. 277, pp. 116579-116579
Closed Access | Times Cited: 31
De-Trend First, Attend Next: A Mid-Term PV forecasting system with attention mechanism and encoder–decoder structure
Yunbo Niu, Jianzhou Wang, Ziyuan Zhang, et al.
Applied Energy (2023) Vol. 353, pp. 122169-122169
Closed Access | Times Cited: 22
Day-ahead electricity price forecasting employing a novel hybrid frame of deep learning methods: A case study in NSW, Australia
Yong Qiang Tan, Yan Shen, Xin Yu, et al.
Electric Power Systems Research (2023) Vol. 220, pp. 109300-109300
Closed Access | Times Cited: 19
Forecasting and Uncertainty Analysis of Day-Ahead Photovoltaic Power Based on WT-CNN-BiLSTM-AM-GMM
Bo Gu, Xi Li, Fengliang Xu, et al.
Sustainability (2023) Vol. 15, Iss. 8, pp. 6538-6538
Open Access | Times Cited: 17
Novel wind-speed prediction system based on dimensionality reduction and nonlinear weighting strategy for point-interval prediction
Xinyu Wang, Jianzhou Wang, Xinsong Niu, et al.
Expert Systems with Applications (2023) Vol. 241, pp. 122477-122477
Closed Access | Times Cited: 17
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