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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:

Spatio-Temporal Graph Neural Networks for Multi-Site PV Power Forecasting
Jelena Simeunović, Baptiste Schubnel, Pierre‐Jean Alet, et al.
IEEE Transactions on Sustainable Energy (2021) Vol. 13, Iss. 2, pp. 1210-1220
Open Access | Times Cited: 123

Showing 1-25 of 123 citing articles:

Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey
Guangyin Jin, Yuxuan Liang, Yuchen Fang, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 36, Iss. 10, pp. 5388-5408
Open Access | Times Cited: 126
Long sequence time-series forecasting with deep learning: A survey
Zonglei Chen, Minbo Ma, Tianrui Li, et al.
Information Fusion (2023) Vol. 97, pp. 101819-101819
Closed Access | Times Cited: 108
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: 67
A Transformer-based multimodal-learning framework using sky images for ultra-short-term solar irradiance forecasting
Jingxuan Liu, Haixiang Zang, Lilin Cheng, et al.
Applied Energy (2023) Vol. 342, pp. 121160-121160
Closed Access | Times Cited: 65
A TCN-Based Hybrid Forecasting Framework for Hours-Ahead Utility-Scale PV Forecasting
Yiyan Li, Lidong Song, Si Zhang, et al.
IEEE Transactions on Smart Grid (2023) Vol. 14, Iss. 5, pp. 4073-4085
Open Access | Times Cited: 46
Dynamic spatio-temporal correlation and hierarchical directed graph structure based ultra-short-term wind farm cluster power forecasting method
Fei Wang, Peng Chen, Zhao Zhen, et al.
Applied Energy (2022) Vol. 323, pp. 119579-119579
Closed Access | Times Cited: 61
Gated spatial-temporal graph neural network based short-term load forecasting for wide-area multiple buses
Nantian Huang, Shengyuan Wang, Rijun Wang, et al.
International Journal of Electrical Power & Energy Systems (2022) Vol. 145, pp. 108651-108651
Closed Access | Times Cited: 52
Optimal Graph Structure Based Short-Term Solar PV Power Forecasting Method Considering Surrounding Spatio-Temporal Correlations
Meng Zhang, Zhao Zhen, Nian Liu, et al.
IEEE Transactions on Industry Applications (2022) Vol. 59, Iss. 1, pp. 345-357
Closed Access | Times Cited: 47
Interpretable temporal-spatial graph attention network for multi-site PV power forecasting
Jelena Simeunović, Baptiste Schubnel, Pierre‐Jean Alet, et al.
Applied Energy (2022) Vol. 327, pp. 120127-120127
Open Access | Times Cited: 40
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: 38
Sub-region division based short-term regional distributed PV power forecasting method considering spatio-temporal correlations
Wenzhe Lai, Zhao Zhen, Fei Wang, et al.
Energy (2023) Vol. 288, pp. 129716-129716
Closed Access | Times Cited: 33
Dynamic directed graph convolution network based ultra‐short‐term forecasting method of distributed photovoltaic power to enhance the resilience and flexibility of distribution network
Yuqing Wang, Wenjie Fu, Xudong Zhang, et al.
IET Generation Transmission & Distribution (2023) Vol. 18, Iss. 2, pp. 337-352
Open Access | Times Cited: 32
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models
Haomin Wen, Youfang Lin, Yutong Xia, et al.
(2023), pp. 1-12
Open Access | Times Cited: 28
Diffusion models for time-series applications: a survey
Lequan Lin, Zhengkun Li, Ruikun Li, et al.
Frontiers of Information Technology & Electronic Engineering (2023) Vol. 25, Iss. 1, pp. 19-41
Open Access | Times Cited: 28
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: 13
GGNet: A novel graph structure for power forecasting in renewable power plants considering temporal lead-lag correlations
Nanyang Zhu, Ying Wang, Kun Yuan, et al.
Applied Energy (2024) Vol. 364, pp. 123194-123194
Closed Access | Times Cited: 13
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
Multi-step power forecasting for regional photovoltaic plants based on ITDE-GAT model
Jincheng Liu, Teng Li
Energy (2024), pp. 130468-130468
Closed Access | Times Cited: 10
Explainable Spatio-Temporal Graph Neural Networks for multi-site photovoltaic energy production
Alessio Verdone, Simone Scardapane, Massimo Panella
Applied Energy (2023) Vol. 353, pp. 122151-122151
Open Access | Times Cited: 19
STAGED: A Spatial-Temporal Aware Graph Encoder–Decoder for Fault Diagnosis in Industrial Processes
Shizhong Li, Wenchao Meng, Shibo He, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 2, pp. 1742-1752
Closed Access | Times Cited: 18
A scalable graph reinforcement learning algorithm based stochastic dynamic dispatch of power system under high penetration of renewable energy
Junbin Chen, Tao Yu, Zhenning Pan, et al.
International Journal of Electrical Power & Energy Systems (2023) Vol. 152, pp. 109212-109212
Open Access | Times Cited: 16
Forecasting solar irradiance with hybrid classical–quantum models: A comprehensive evaluation of deep learning and quantum-enhanced techniques
Mushrafi Munim Sushmit, I.M. Mahbubul
Energy Conversion and Management (2023) Vol. 294, pp. 117555-117555
Closed Access | Times Cited: 16
Mind the gap between PV generation and residential load curves: Maximizing the roof-top PV usage for prosumers with an IoT-based adaptive optimization and control module
Simona‐Vasilica Oprea, Adela Bârã
Expert Systems with Applications (2022) Vol. 212, pp. 118828-118828
Closed Access | Times Cited: 27
Machine Learning Approaches to Predict Electricity Production from Renewable Energy Sources
Adam Krechowicz, Maria Krechowicz, Katarzyna Poczęta
Energies (2022) Vol. 15, Iss. 23, pp. 9146-9146
Open Access | Times Cited: 26
Review on Spatio-Temporal Solar Forecasting Methods Driven by In Situ Measurements or Their Combination with Satellite and Numerical Weather Prediction (NWP) Estimates
Llinet Benavides Cesar, Rodrigo Amaro e Silva, Miguel Ángel Manso Callejo, et al.
Energies (2022) Vol. 15, Iss. 12, pp. 4341-4341
Open Access | Times Cited: 23
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