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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:

Short Term Residential Load Forecasting: An Improved Optimal Nonlinear Auto Regressive (NARX) Method with Exponential Weight Decay Function
Farukh Abbas, Donghan Feng, Salman Habib, et al.
Electronics (2018) Vol. 7, Iss. 12, pp. 432-432
Open Access | Times Cited: 23

Showing 23 citing articles:

Short-Term Energy Consumption Forecasting at the Edge: A Federated Learning Approach
Marco Savi, Fabrizio Olivadese
IEEE Access (2021) Vol. 9, pp. 95949-95969
Open Access | Times Cited: 91
Big Data Analytics for Short and Medium-Term Electricity Load Forecasting Using an AI Techniques Ensembler
Nasir Ayub, Muhammad Irfan, Muhammad Awais, et al.
Energies (2020) Vol. 13, Iss. 19, pp. 5193-5193
Open Access | Times Cited: 45
Short-Term Load Forecasting for a Single Household Based on Convolution Neural Networks Using Data Augmentation
Shree Krishna Acharya, Young-Min Wi, Jaehee Lee
Energies (2019) Vol. 12, Iss. 18, pp. 3560-3560
Open Access | Times Cited: 33
Systematic Development of Short-Term Load Forecasting Models for the Electric Power Utilities: The Case of Pakistan
Aneeque A. Mir, Zafar A. Khan, Abdullah Altmimi, et al.
IEEE Access (2021) Vol. 9, pp. 140281-140297
Open Access | Times Cited: 17
Deep Learning Methods for Predicting Tap-Water Quality Time Series in South Korea
Yunjeong Im, Gyuwon Song, Junghyun Lee, et al.
Water (2022) Vol. 14, Iss. 22, pp. 3766-3766
Open Access | Times Cited: 12
An Improved Optimal Forecasting Algorithm for Comprehensive Electric Vehicle Charging Allocation
Farukh Abbas, Donghan Feng, Salman Habib, et al.
Energy Technology (2019) Vol. 7, Iss. 10
Closed Access | Times Cited: 18
Designing, Developing and Validating a Forecasting Method for the Month Ahead Hourly Electricity Consumption in the Case of Medium Industrial Consumers
Dana-Mihaela Petroșanu
Processes (2019) Vol. 7, Iss. 5, pp. 310-310
Open Access | Times Cited: 14
Unified Quantile Regression Deep Neural Network with Time-Cognition for Probabilistic Residential Load Forecasting
Zhuofu Deng, Binbin Wang, Heng Guo, et al.
Complexity (2020) Vol. 2020, pp. 1-18
Open Access | Times Cited: 13
Human motion recognition information processing system based on LSTM Recurrent Neural Network Algorithm
LI Xie-ji, Cao Xia
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 7, pp. 8509-8521
Closed Access | Times Cited: 8
Short Term Load Forecasting Using Bootstrap Aggregating Based Ensemble Artificial Neural Network
Muhammad Faizan Tahir, Haoyong Chen, Kashif Mehmood, et al.
Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) (2019) Vol. 13, Iss. 7, pp. 980-992
Closed Access | Times Cited: 12
Benefits of thermal load forecasts in balancing load fluctuations through thermal storage
Alessandra Ghilardi, Guido Francesco Frate, Mauro R. Tucci, et al.
Journal of Energy Storage (2023) Vol. 70, pp. 107929-107929
Open Access | Times Cited: 4
An ensemble data-driven approach for incorporating uncertainty in the forecasting of stormwater sewer surcharge
Félix Schmid, Jorge Leandro
Urban Water Journal (2023) Vol. 20, Iss. 9, pp. 1140-1156
Closed Access | Times Cited: 4
Multihousehold Load Forecasting Based on a Convolutional Neural Network Using Moment Information and Data Augmentation
Shree Krishna Acharya, Hwanuk Yu, Young-Min Wi, et al.
Energies (2024) Vol. 17, Iss. 4, pp. 902-902
Open Access | Times Cited: 1
A Hybrid Model for Electricity Demand Forecast Using Improved Ensemble Empirical Mode Decomposition and Recurrent Neural Networks with ERA5 Climate Variables
Karodine Chreng, Han Soo Lee, Soklin Tuy
Energies (2022) Vol. 15, Iss. 19, pp. 7434-7434
Open Access | Times Cited: 5
sDeepFM: Multi-Scale Stacking Feature Interactions for Click-Through Rate Prediction
Baohua Qiang, Yongquan Lu, Minghao Yang, et al.
Electronics (2020) Vol. 9, Iss. 2, pp. 350-350
Open Access | Times Cited: 5
NARX Neural Networks Model for Forecasting Daily Patient Arrivals in the Emergency Department
Melih Yücesan, Süleyman Mete, Faruk Serin, et al.
Advances in healthcare information systems and administration book series (2020), pp. 1-18
Closed Access | Times Cited: 4
Short Term Load Forecasting for Electric Power Utilities: A Generalized Regression Approach Using Polynomials and Cross-Terms
Aneeque A. Mir, Kafait Ullah, Zafar A. Khan, et al.
(2021), pp. 21-21
Open Access | Times Cited: 4
Short-Term Deterministic Forecasting of Individual Household Electricity Consumption Using the Hungarian Algorithm
Graham McClone, Lola Botman, Adil Khurram, et al.
(2024), pp. 1-5
Closed Access
Multi-agent Reinforcement Learning Based User-Centric Demand Response with Non-intrusive Load Monitoring
Mohammad Ashraf, Sima Hamedifar, Shichao Liu, et al.
Lecture notes in computer science (2024), pp. 430-445
Closed Access
Short-term Load Forecasting: A Recurrent Dynamic Neural Network Approach Using NARX
Sanjeeva Kumar, Santoshkumar Hampannavar, Abhishek Choudhary, et al.
Lecture notes in networks and systems (2023), pp. 509-522
Closed Access | Times Cited: 1
Sales Forecasting in the Electrical Industry - An Illustrative Comparison of Time Series and Machine Learning Approaches
Daniel Büttner, Markus Rabe
(2021), pp. 69-78
Closed Access | Times Cited: 2
Multi-Agent Reinforcement Learning Based User-Centric Demand Response via Non-Intrusive Load Monitoring
Mohammed Ashraf
(2023)
Open Access
Analysis of the Impact of Particulate Matter on Net Load and Behind-the-Meter PV Decoupling
Yeuntae Yoo, Seokheon Cho
Electronics (2022) Vol. 11, Iss. 14, pp. 2261-2261
Open Access
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