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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:

A Hybrid Short-Term Building Electrical Load Forecasting Model Combining the Periodic Pattern, Fuzzy System, and Wavelet Transform
Chengdong Li, Minjia Tang, Guiqing Zhang, et al.
International Journal of Fuzzy Systems (2020) Vol. 22, Iss. 1, pp. 156-171
Closed Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Fastest‐growing source prediction of US electricity production based on a novel hybrid model using wavelet transform
Weibiao Qiao, Zhaoyang Li, Wei Liu, et al.
International Journal of Energy Research (2021) Vol. 46, Iss. 2, pp. 1766-1788
Open Access | Times Cited: 100
A Novel Approach for Short-Term Energy Forecasting in Smart Buildings
M Jayashankara, Priyansh Shah, Anshul Sharma, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 5, pp. 5307-5314
Closed Access | Times Cited: 26
A Review of Data-Driven Building Energy Prediction
Huiheng Liu, Jin Rui Liang, Yanchen Liu, et al.
Buildings (2023) Vol. 13, Iss. 2, pp. 532-532
Open Access | Times Cited: 24
Modeling Energy Demand—A Systematic Literature Review
Paul Verwiebe, Stephan Seim, Simon Burges, et al.
Energies (2021) Vol. 14, Iss. 23, pp. 7859-7859
Open Access | Times Cited: 51
A systematic review of building electricity use profile models
Xuyuan Kang, Jingjing An, Da Yan
Energy and Buildings (2022) Vol. 281, pp. 112753-112753
Closed Access | Times Cited: 32
FAST: A Forecasting Model With Adaptive Sliding Window and Time Locality Integration for Dynamic Cloud Workloads
Binbin Feng, Zhijun Ding, Changjun Jiang
IEEE Transactions on Services Computing (2022) Vol. 16, Iss. 2, pp. 1184-1197
Closed Access | Times Cited: 26
Subtractive Clustering-Based Deep Fuzzy System for Time Series Forecasting via Encoding the Long-Term Trend Feature
Yunxia Liu, Songping Meng, Changgeng Zhou, et al.
International Journal of Fuzzy Systems (2025)
Closed Access
A Review of Energy Consumption Forecasting in Smart Buildings: Methods, Input Variables, Forecasting Horizon and Metrics
Deyslen Mariano-Hernández, Luís Hernández-Callejo, Félix Santos García, et al.
Applied Sciences (2020) Vol. 10, Iss. 23, pp. 8323-8323
Open Access | Times Cited: 33
Compression and regularized optimization of modules stacked residual deep fuzzy system with application to time series prediction
Yunxia Liu, Xiao Lu, Wei Peng, et al.
Information Sciences (2022) Vol. 608, pp. 551-577
Closed Access | Times Cited: 16
A Review of Research on Building Energy Consumption Prediction Models Based on Artificial Neural Networks
Qing Yin, Chunmiao Han, Ailin Li, et al.
Sustainability (2024) Vol. 16, Iss. 17, pp. 7805-7805
Open Access | Times Cited: 3
A hybrid ensembled double-input-fuzzy-modules based precise prediction of PV power generation
Hualu Zhang, Jie Shi, Chunping Zhang
Energy Reports (2022) Vol. 8, pp. 1610-1621
Open Access | Times Cited: 15
A comprehensive low-risk and cost parallel hybrid method for electricity load forecasting
Mehdi Khashei, Fatemeh Chahkoutahi
Computers & Industrial Engineering (2021) Vol. 155, pp. 107182-107182
Closed Access | Times Cited: 19
Accurate prediction of short-term photovoltaic power generation via a novel double-input-rule-modules stacked deep fuzzy method
Chengdong Li, Changgeng Zhou, Wei Peng, et al.
Energy (2020) Vol. 212, pp. 118700-118700
Closed Access | Times Cited: 20
Privileged information-driven random network based non-iterative integration model for building energy consumption prediction
Hongchang Sun, Wenwen Zhai, Yugang Wang, et al.
Applied Soft Computing (2021) Vol. 108, pp. 107438-107438
Closed Access | Times Cited: 16
An Intelligent Data-Driven Approach for Electrical Energy Load Management Using Machine Learning Algorithms
Shamim Akhtar, Muhamad Zahim Sujod, Syed Sajjad Hussain Rizvi
Energies (2022) Vol. 15, Iss. 15, pp. 5742-5742
Open Access | Times Cited: 10
A novel physical-feature-based approach for stochastic simulation of typical building electricity use profiles
Xuyuan Kang, Xiao Wang, Jingjing An, et al.
Energy and Buildings (2023) Vol. 302, pp. 113742-113742
Closed Access | Times Cited: 5
Residual deep fuzzy system with randomized fuzzy modules for accurate time series forecasting
Yunxia Liu, Wei Peng, Haixia Wang, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 17, pp. 9989-10014
Closed Access | Times Cited: 1
A Structured Literature Review and Meta-analysis of Forecasting Methods for Energy Consumption in Smart Buildings
Ajay Kumar, Rainu Nandal, Kamaldeep Joshi
Lecture notes in networks and systems (2024), pp. 37-62
Closed Access | Times Cited: 1
Adaptive Robust Control and Optimal Design for Fuzzy Unmanned Helicopter Tail Reduction
Han Zhao, Zicheng Zhu, Hao Sun
International Journal of Fuzzy Systems (2020) Vol. 22, Iss. 5, pp. 1400-1415
Closed Access | Times Cited: 12
A clustering-based short-term load forecasting using independent component analysis and multi-scale decomposition transform
Roohollah Keshvari, Maryam Imani, Mohsen Parsa Moghaddam
The Journal of Supercomputing (2022) Vol. 78, Iss. 6, pp. 7908-7935
Closed Access | Times Cited: 6
Electricity demand forecasting using fuzzy hybrid intelligence-based seasonal models
Mehdi Khashei, Fatemeh Chahkoutahi
Journal of Modelling in Management (2021) Vol. 17, Iss. 1, pp. 154-176
Closed Access | Times Cited: 8
A GRU-Based Short-Term Multi-energy Loads Forecast Approach for Integrated Energy System
Chaoqun Lu, Jian Li, Guangdou Zhang, et al.
2022 4th Asia Energy and Electrical Engineering Symposium (AEEES) (2022), pp. 209-213
Closed Access | Times Cited: 5
Interval prediction of short-term building electrical load via a novel multi-objective optimized distributed fuzzy model
Hongchang Sun, Minjia Tang, Wei Peng, et al.
Neural Computing and Applications (2021) Vol. 33, Iss. 22, pp. 15357-15371
Closed Access | Times Cited: 6
Time Load Forecasting: A Smarter Expertise Through Modern Methods
Trina Som
Lecture notes in electrical engineering (2023), pp. 153-176
Closed Access | Times Cited: 2
Optimal Energy Consumption Tasks Scheduling Strategy for Multi-Radio WSNs
Qiao Yan, Wei Peng, Guiqing Zhang
Sensors (2020) Vol. 20, Iss. 3, pp. 881-881
Open Access | Times Cited: 5
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