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:

Development and application of an evolutionary deep learning framework of LSTM based on improved grasshopper optimization algorithm for short-term load forecasting
Haowen Hu, Xin Xia, Yuanlin Luo, et al.
Journal of Building Engineering (2022) Vol. 57, pp. 104975-104975
Closed Access | Times Cited: 54

Showing 26-50 of 54 citing articles:

An RBF neural network based on improved black widow optimization algorithm for classification and regression problems
Hui Liu, Guo Zhou, Yongquan Zhou, et al.
Frontiers in Neuroinformatics (2023) Vol. 16
Open Access | Times Cited: 9
A multi-stage ensemble model for power load forecasting based on decomposition, error factors, and multi-objective optimization algorithm
Chaodong Fan, Shanghao Nie, Leyi Xiao, et al.
International Journal of Electrical Power & Energy Systems (2023) Vol. 155, pp. 109620-109620
Open Access | Times Cited: 9
Review of multiple load forecasting method for integrated energy system
Yujiao Liu, Yan Li, Guoliang Li, et al.
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 7
Parameter-Adaptive TVF-EMD Feature Extraction Method Based on Improved GOA
Chengjiang Zhou, Zenghui Xiong, Haicheng Bai, et al.
Sensors (2022) Vol. 22, Iss. 19, pp. 7195-7195
Open Access | Times Cited: 11
COVID-based controller: Enhancing automotive safety with a neuroadaptive beta-function optimization for anti-lock braking systems
Masoud Shirzadeh, Abdollah Amirkhani
Engineering Science and Technology an International Journal (2024) Vol. 56, pp. 101764-101764
Open Access | Times Cited: 2
Design of a Dynamic Feedback LSTM Electricity Price Forecast of Smart Grids
Ashkan Safari, Hamed Kheirandish Gharehbagh, Morteza Nazari‐Heris, et al.
Power systems (2024), pp. 327-344
Closed Access | Times Cited: 2
High-Resolution Load Forecasting on Multiple Time Scales Using Long Short-Term Memory and Support Vector Machine
Sizhe Zhang, Jinqi Liu, Jihong Wang
Energies (2023) Vol. 16, Iss. 4, pp. 1806-1806
Open Access | Times Cited: 6
An attention mechanism-based deep regression approach with a sequence decomposition-granularity reconstruction-integration model for urban daily water supply forecasting
Yun Bai, Zhengjie Yan, Chuan Li
Journal of Hydrology (2022) Vol. 617, pp. 129032-129032
Closed Access | Times Cited: 9
FSNet: A Hybrid Model for Seasonal Forecasting
Ahmed Rebei, Manar Amayri, Nizar Bouguila
IEEE Transactions on Emerging Topics in Computational Intelligence (2023) Vol. 8, Iss. 2, pp. 1167-1180
Closed Access | Times Cited: 4
Cost Prediction in Blockchain-Enabled Pharmaceutical Supply Chain under Uncertain Demand
Hossein Havaeji, Thiên-My Dao, Tony Wong
Mathematics (2023) Vol. 11, Iss. 22, pp. 4669-4669
Open Access | Times Cited: 4
Short-term wind speed forecasts through hybrid model based on improved variational mode decomposition
Dai Yiyan, Mingjin Zhang, Xin Xu, et al.
International Journal of Green Energy (2024) Vol. 21, Iss. 10, pp. 2281-2298
Closed Access | Times Cited: 1
Transfer learning and source domain restructuring-based BiLSTM approach for building energy consumption prediction
Yi Yan, Fan Wang, Chenlu Tian, et al.
International Journal of Green Energy (2024), pp. 1-15
Closed Access | Times Cited: 1
A Short-Term Power Load Forecasting Method of Based on the CEEMDAN-MVO-GRU
Taorong Jia, Yao Lixiao, Guoqing Yang, et al.
Sustainability (2022) Vol. 14, Iss. 24, pp. 16460-16460
Open Access | Times Cited: 6
Hourly Electricity Price Prediction Applying Deep Learning for Electricity Market Management
Ibrahim M. Gaber, Rania A. Ibrahim
2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) (2023)
Closed Access | Times Cited: 3
Transfer Learning in Transformer-Based Demand Forecasting For Home Energy Management System
Gargya Gokhale, Jonas Van Gompel, Bert Claessens, et al.
(2023), pp. 458-462
Open Access | Times Cited: 3
An Ensemble Deep Learning Model for Provincial Load Forecasting Based on Reduced Dimensional Clustering and Decomposition Strategies
Kaiyan Wang, Haodong Du, Jiao Wang, et al.
Mathematics (2023) Vol. 11, Iss. 12, pp. 2786-2786
Open Access | Times Cited: 2
Prediction of Heat and Cold Load of Factory Mushroom House Based on EWT Decomposition
Hesen Zuo, Wengang Zheng, Mingfei Wang, et al.
(2023)
Open Access | Times Cited: 2
Enhancing HVAC Electricity Load Prediction Accuracy using Bi-LSTM Method based on Daily Dataset
Koko Friansa, Justin Pradipta, Irsyad Nashirul Haq, et al.
(2023) Vol. 25, pp. 92-96
Closed Access | Times Cited: 2
Research on ultra-short-term load forecasting method of oil and gas field integrated energy system based on hybrid neural network
Zhao Zhang, Dezhi Dong, Lili Lv, et al.
Research Square (Research Square) (2024)
Open Access
Short-Term Load Forecasting Model Considering Multiple Time Scales
Dan Li, Jian Tang, Yawen Zhen, et al.
Lecture notes in electrical engineering (2024), pp. 625-632
Closed Access
Exploring the Effect of Sequence Smoothness on Machine Learning Accuracy
Cangqing Wang, Hoc T. Quach
Lecture notes in networks and systems (2024), pp. 475-494
Closed Access
Short- Term Electric Vehicle Demand Forecasts and Vehicle-to-Grid (V2G) Idle- Time Estimation Using Machine Learning
Prashanth Rajagopalan, Jack Thornby, Prakash Ranganathan
2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC) (2023), pp. 1279-1286
Closed Access | Times Cited: 1
Multi-Factor Load Classification Method considering Clean Energy Power Generation
Yuxiu Zang, Weichun Ge, Shunjiang Wang, et al.
International Transactions on Electrical Energy Systems (2023) Vol. 2023, pp. 1-13
Open Access | Times Cited: 1
A Comprehensive Review of Modern Methods for Load Prediction in the Smart Grid
Pushpa Attiwal, Sanjeev Indora
Recent Patents on Engineering (2023) Vol. 18, Iss. 4
Closed Access | Times Cited: 1
Cluster-based deep transfer learning with attention mechanism for residential air conditioning systems
Yoondong Sung, Woohyun Kim
Applied Thermal Engineering (2023) Vol. 231, pp. 121016-121016
Closed Access | Times Cited: 1

Scroll to top