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:

Towards Short Term Electricity Load Forecasting Using Improved Support Vector Machine and Extreme Learning Machine
Waqas Ahmad, Nasir Ayub, Tariq Ali, et al.
Energies (2020) Vol. 13, Iss. 11, pp. 2907-2907
Open Access | Times Cited: 86

Showing 26-50 of 86 citing articles:

Machine Learning–Based Prediction of Electrical Load in the Context of Variable Weather Conditions
Ashutosh Shukla, Supriya Supriya, Rupendra Kumar Pachauri
(2025), pp. 347-363
Closed Access
Residential building cooling load prediction with optimized KELM models and interpretability insights
Yulin Zhang, Enming Li, Jianan Gu, et al.
Applied Thermal Engineering (2025), pp. 126421-126421
Closed Access
A Novel Hybrid Model Combining LMD, MSCA, and SCINet for Electricity Forecasting
J. P. Zheng, Wei Shen, B. Zheng
Electronics (2025) Vol. 14, Iss. 8, pp. 1567-1567
Open Access
A Data-Driven Model to Forecast Multi-Step Ahead Time Series of Turkish Daily Electricity Load
Kamil Demirberk Ünlü
Electronics (2022) Vol. 11, Iss. 10, pp. 1524-1524
Open Access | Times Cited: 18
Enhanced Machine-Learning Techniques for Medium-Term and Short-Term Electric-Load Forecasting in Smart Grids
Sajawal ur Rehman Khan, Israa Adil Hayder, Muhammad Asif Habib, et al.
Energies (2022) Vol. 16, Iss. 1, pp. 276-276
Open Access | Times Cited: 16
A Day-Ahead Short-Term Load Forecasting Using M5P Machine Learning Algorithm along with Elitist Genetic Algorithm (EGA) and Random Forest-Based Hybrid Feature Selection
Ankit Kumar Srivastava, Ajay Shekhar Pandey, Mohamad Abou Houran, et al.
Energies (2023) Vol. 16, Iss. 2, pp. 867-867
Open Access | Times Cited: 10
Short‐term electric load forecasting based on empirical wavelet transform and temporal convolutional network
Zhongwei Zhao, Wenfang Lin
IET Generation Transmission & Distribution (2024) Vol. 18, Iss. 8, pp. 1672-1683
Open Access | Times Cited: 3
Evaluation of electrical load demand forecasting using various machine learning algorithms
Akanksha Jain, Sourav Gupta
Frontiers in Energy Research (2024) Vol. 12
Open Access | Times Cited: 3
Artificial intelligence-based forecasting models for integrated energy system management planning: An exploration of the prospects for South Africa
Senthil Krishnamurthy, Oludamilare Bode Adewuyi, Emmanuel Luwaca, et al.
Energy Conversion and Management X (2024) Vol. 24, pp. 100772-100772
Open Access | Times Cited: 3
PredXGBR: A Machine Learning Framework for Short-Term Electrical Load Prediction
Rifat Zabin, Khandaker Foysal Haque, Ahmed Abdelgawad
Electronics (2024) Vol. 13, Iss. 22, pp. 4521-4521
Open Access | Times Cited: 3
Hybrid LSTM–BPNN-to-BPNN Model Considering Multi-Source Information for Forecasting Medium- and Long-Term Electricity Peak Load
Bingjie Jin, Guihua Zeng, Zhilin Lu, et al.
Energies (2022) Vol. 15, Iss. 20, pp. 7584-7584
Open Access | Times Cited: 12
Electricity Theft Detection using CNN-GRU and Manta Ray Foraging Optimization Algorithm
Nasir Ayub, Khursheed Aurangzeb, Muhammad Awais, et al.
(2020), pp. 1-6
Closed Access | Times Cited: 16
Week Ahead Electricity Power and Price Forecasting Using Improved DenseNet-121 Method
Muhammad Irfan, Ali Raza, Faisal Althobiani, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 72, Iss. 3, pp. 4249-4265
Open Access | Times Cited: 10
Locational Marginal Price Forecasting Using SVR-Based Multi-Output Regression in Electricity Markets
Sergio Cantillo-Luna, Ricardo Moreno‐Chuquen, Harold R. Chamorro, et al.
Energies (2022) Vol. 15, Iss. 1, pp. 293-293
Open Access | Times Cited: 9
Hydraulic Tests of the PZ0 Gear Micropump and the Importance Rank of Its Design and Operating Parameters
Piotr Osiński, Adam Deptuła, M. A. Partyka
Energies (2022) Vol. 15, Iss. 9, pp. 3068-3068
Open Access | Times Cited: 9
A Scalable RF-XGBoost Framework for Financial Fraud Mitigation
Isaac Kofi Nti, Arjun Remadevi Somanathan
IEEE Transactions on Computational Social Systems (2022) Vol. 11, Iss. 2, pp. 1556-1563
Closed Access | Times Cited: 9
Combined machine learning forecasting method for short-term power load based on the dynamic weight adjustment
Xue Hu, Xiafei Tang, Qichun Zhang, et al.
Energy Reports (2023) Vol. 9, pp. 866-873
Open Access | Times Cited: 5
Short-term Load Forecasting Model Based on RBF Neural Network Optimized by Artificial Bee Colony Algorithm
Aoyang Han, Zhou Shengqi, Xuehui Jian, et al.
(2021)
Closed Access | Times Cited: 12
Improving Accuracy of Machine Learning Based Short-Term Load Forecasting Models with Correlation Analysis and Feature Engineering
Nikita Sergeev, Павел Матренин
(2023), pp. 1000-1004
Closed Access | Times Cited: 4
Ensemble learning approach for advanced metering infrastructure in future smart grids
Muhammad Irfan, Nasir Ayub, Faisal Althobiani, et al.
PLoS ONE (2023) Vol. 18, Iss. 10, pp. e0289672-e0289672
Open Access | Times Cited: 4
Effective Voting-Based Ensemble Learning for Segregated Load Forecasting With Low Sampling Data
Shahzeb Ahmad Khan, Attique Ur Rehman, Ammar Arshad, et al.
IEEE Access (2024) Vol. 12, pp. 84074-84087
Open Access | Times Cited: 1
The Use of Singular Spectrum Analysis and K-Means Clustering-Based Bootstrap to Improve Multistep Ahead Load Forecasting
Winita Sulandari, Yudho Yudhanto, Paulo Canas Rodrigues
Energies (2022) Vol. 15, Iss. 16, pp. 5838-5838
Open Access | Times Cited: 7
Forecasting Irregular Seasonal Power Consumption. An Application to a Hot-Dip Galvanizing Process
Óscar Trull, J. Carlos Garcı́a-Dı́az, Ángel Peiró‐Signes
Applied Sciences (2020) Vol. 11, Iss. 1, pp. 75-75
Open Access | Times Cited: 9
SmartEle: Smart Electricity Dashboard for Detecting Consumption Patterns: A Case Study at a University Campus
Changfeng Jing, Shasha Guo, Hongyang Zhang, et al.
ISPRS International Journal of Geo-Information (2022) Vol. 11, Iss. 3, pp. 194-194
Open Access | Times Cited: 6
Forecast of Short-Term Electricity Price Based on Data Analysis
Shuang Wu, He Li, Zhaolong Zhang, et al.
Mathematical Problems in Engineering (2021) Vol. 2021, pp. 1-14
Open Access | Times Cited: 8

Scroll to top