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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 Electric Load Forecasting Based on Data Transformation and Statistical Machine Learning
Nikolaos Andriopoulos, Aris Magklaras, Alexios Birbas, et al.
Applied Sciences (2020) Vol. 11, Iss. 1, pp. 158-158
Open Access | Times Cited: 49

Showing 26-50 of 49 citing articles:

Generating Hourly Electricity Demand Data for Large-Scale Single-Family Buildings by a Decomposition–Recombination Method
Mengjie Han, Xingxing Zhang
Sustainable development goals series (2023), pp. 331-354
Closed Access | Times Cited: 2
Data Transformation in Machine Learning: Empirical Analysis
Firuz Kamalov, Sherif Moussa, Jorge Avante Reyes
2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT) (2023) Vol. 15, pp. 115-120
Closed Access | Times Cited: 2
Benchmarking of Load Forecasting Methods Using Residential Smart Meter Data
João C. Sousa, Hermano Bernardo
Applied Sciences (2022) Vol. 12, Iss. 19, pp. 9844-9844
Open Access | Times Cited: 4
Bootstrap aggregating approach to short-term load forecasting using meteorological parameters for demand side management in the North-Eastern Region of India
Dıpu Sarkar, Taliakum Ao, Sravan Kumar Gunturi
Theoretical and Applied Climatology (2022) Vol. 148, Iss. 3-4, pp. 1111-1125
Open Access | Times Cited: 3
msf, a forecasting library to predict short-term electricity demand based on multiple seasonal time series
Óscar Trull, J. Carlos Garcı́a-Dı́az, Ángel Peiró‐Signes
Journal of Computational Science (2024) Vol. 78, pp. 102280-102280
Open Access
Electricity Load Prediction using AI
S. Geetha, K. Kathiresan, C B Kamalavikashini, et al.
(2024), pp. 564-569
Closed Access
Utilizing the Group Method of Data Handling (GMDH) for Electric Demand Forecasting: A Case Study of Turkey
Mohammad Hassan Hashemi
(2024), pp. 677-680
Closed Access
Enhancing Short-Term Load Forecasting Accuracy in High-Volatility Regions Using LSTM-SCN Hybrid Models
Binbin Tang, Jie Hu, Gang Yang, et al.
Applied Sciences (2024) Vol. 14, Iss. 24, pp. 11606-11606
Open Access
A Platform Independent Web-Application for Short-Term Electric Power Load Forecasting on a 33/11 kV Substation Using Regression Model
Venkataramana Veeramsetty, Gudelli Sushma Vaishnavi, Modem Sai Pavan Kumar, et al.
Advances in Electrical and Electronic Engineering (2023) Vol. 20, Iss. 4
Open Access | Times Cited: 1
A novel framework for machine intelligence aided smarter energy management in residential scenario
Rupesh Rayalu Onteru, Sandeep Vuddanti
Measurement Sensors (2023) Vol. 28, pp. 100855-100855
Open Access | Times Cited: 1
Anchored Input-Output Learning for Electrical Load Demand Forecasting
Paraskevi Nousi, Maria Tzelepi, Anastasios Tefas
2022 IEEE International Symposium on Circuits and Systems (ISCAS) (2023), pp. 1-5
Closed Access | Times Cited: 1
Application of Intelligent Optimization Algorithms on Short-Term Electric Load Forecasting: A Review
Taha Abbas Sadiq, Balasim Mohammed Hussein
(2023), pp. 140-144
Closed Access | Times Cited: 1
DATAEMS: Design and development of a data analysis-based energy monitoring system
Mohammad Shahadat Hossain, Imtiaz Akber Chowdhury
e-Prime - Advances in Electrical Engineering Electronics and Energy (2023) Vol. 6, pp. 100387-100387
Open Access | Times Cited: 1
Avoiding Overconfidence in Predictions of Residential Energy Demand Through Identification of the Persistence Forecast Effect
Huseyin Burak Akyol, Chris Preist, Daniel Schien
IEEE Transactions on Smart Grid (2022) Vol. 14, Iss. 1, pp. 228-238
Open Access | Times Cited: 2
Online Self-Distillation for Electric Load Demand Forecasting on Greek Energy Market
Maria Tzelepi, Alkmini Sapountzaki, Nikitas Maragkos, et al.
(2022), pp. 1-5
Closed Access | Times Cited: 2
Improving Electric Load Demand Forecasting with Anchor-Based Forecasting Method
Maria Tzelepi, Paraskevi Nousi, Anastasios Tefas
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023), pp. 1-5
Closed Access
Residual Error Learning for Electricity Demand Forecasting
Achilleas Andronikos, Maria Tzelepi, Anastasios Tefas
Communications in computer and information science (2023), pp. 391-402
Closed Access
Short-Term Load Forecasting Based on Bayesian Ridge Regression Coupled with an Optimal Feature Selection Technique
Abdullah Ashraf, Shaikh Saaqib Haroon
International Journal of Advanced Natural Sciences and Engineering Researches (2023) Vol. 7, Iss. 4, pp. 435-441
Open Access
Impact of the Size of Data on the Reliability of Short-Term Load Forecasting Using LSTM and GRU
Abdullah Ashraf, Shaikh Saaqib Haroon
International Journal of Advanced Natural Sciences and Engineering Researches (2023) Vol. 7, Iss. 4, pp. 428-434
Open Access
mshw, a Forecasting Library to Predict Short-Term Electricity Demand Based on Multiple Seasonal Holt-Winters
Óscar Trull, J. Carlos Garcı́a-Dı́az, Ángel Peiró‐Signes
(2023)
Open Access
Effect of the Training Data Quantity on the Day-ahead Load Forecasting Performance in the Industrial Sector
L. Baur, Philipp Pelger, Alexander Sauer
2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (2023), pp. 1426-1430
Closed Access
Design and Implementation of Data Analysis-Based Energy Monitoring System
Mohammad Shahadat Hossain, Minhajul Islam, Prosenjit Barua, et al.
2022 International Conference on Innovations in Science, Engineering and Technology (ICISET) (2022), pp. 212-216
Closed Access
An Improved Self-Organizing Migration Algorithm for Short-Term Load Forecasting with LSTM Structure Optimization
Xiaofeng Rong, Hanghang Zhou, Zijian Cao, et al.
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-18
Open Access
Bootstrap Aggregating Approach to Short-Term Load Forecasting Using Meteorological Parameters for Demand Side Management in The North-Eastern Region of India
Dıpu Sarkar, Taliakum Ao, Sravan Kumar Gunturi
Research Square (Research Square) (2021)
Open Access
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