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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 1-25 of 49 citing articles:

Review of Family-Level Short-Term Load Forecasting and Its Application in Household Energy Management System
Ping Ma, Shuhui Cui, Mingshuai Chen, et al.
Energies (2023) Vol. 16, Iss. 15, pp. 5809-5809
Open Access | Times Cited: 46
Short-term apartment-level load forecasting using a modified neural network with selected auto-regressive features
Lechen Li, Christoph J. Meinrenken, Vijay Modi, et al.
Applied Energy (2021) Vol. 287, pp. 116509-116509
Open Access | Times Cited: 70
A combined deep learning load forecasting model of single household resident user considering multi-time scale electricity consumption behavior
Wangwang Yang, Jing Shi, Shujian Li, et al.
Applied Energy (2021) Vol. 307, pp. 118197-118197
Closed Access | Times Cited: 70
An ensemble-based approach for short-term load forecasting for buildings with high proportion of renewable energy sources
Abrar Shahriar Pramanik, Saeed Sepasi, Tung Lam Nguyen, et al.
Energy and Buildings (2024) Vol. 308, pp. 113996-113996
Closed Access | Times Cited: 8
Local Energy Market-Consumer Digital Twin Coordination for Optimal Energy Price Discovery under Thermal Comfort Constraints
Nikolaos Andriopoulos, Konstantinos Plakas, Christos Mountzouris, et al.
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1798-1798
Open Access | Times Cited: 13
Deep-Learning-Based Scheduling Optimization of Wind-Hydrogen-Energy Storage System on Energy Islands
Qingxia Wu, Peng Long, Guoqing Han, et al.
Energy (2025), pp. 135107-135107
Closed Access
A Bidirectional Grid-Connected DC–AC Converter for Autonomous and Intelligent Electricity Storage in the Residential Sector
Ismail Aouichak, Sébastien Jacques, Sébastien Bissey, et al.
Energies (2022) Vol. 15, Iss. 3, pp. 1194-1194
Open Access | Times Cited: 16
Performance enhancement of artificial intelligence: A survey
Moez Krichen, Mohamed S. Abdalzaher
Journal of Network and Computer Applications (2024), pp. 104034-104034
Closed Access | Times Cited: 3
Forecasting the Risk Factor of Frontier Markets: A Novel Stacking Ensemble of Neural Network Approach
Mst Shapna Akter, Hossain Shahriar, Reaz A. Chowdhury, et al.
Future Internet (2022) Vol. 14, Iss. 9, pp. 252-252
Open Access | Times Cited: 14
Advanced ML-Based Ensemble and Deep Learning Models for Short-Term Load Forecasting: Comparative Analysis Using Feature Engineering
Pyae Pyae Phyo, Chawalit Jeenanunta
Applied Sciences (2022) Vol. 12, Iss. 10, pp. 4882-4882
Open Access | Times Cited: 13
A Review on Machine Learning Models in Forecasting of Virtual Power Plant Uncertainties
Ahmet Doğan, Demet Cidem Dogan
Archives of Computational Methods in Engineering (2022) Vol. 30, Iss. 3, pp. 2081-2103
Closed Access | Times Cited: 13
A Comprehensive Review of Behind-the-Meter Distributed Energy Resources Load Forecasting: Models, Challenges, and Emerging Technologies
Aydin Zaboli, Swetha Rani Kasimalla, Kuchan Park, et al.
Energies (2024) Vol. 17, Iss. 11, pp. 2534-2534
Open Access | Times Cited: 2
A Real-Time Electrical Load Forecasting in Jordan Using an Enhanced Evolutionary Feedforward Neural Network
Lina Alhmoud, Ruba Abu Khurma, Ala’ M. Al-Zoubi, et al.
Sensors (2021) Vol. 21, Iss. 18, pp. 6240-6240
Open Access | Times Cited: 14
Cost Effective Day -Ahead Scheduling with Stochastic Load and Intermittency Forecasting for Distribution System Considering Distributed Energy Resources
B. V. Surya Vardhan, Mohan Khedkar, Ishan Srivastava
Energy Sources Part A Recovery Utilization and Environmental Effects (2021), pp. 1-26
Closed Access | Times Cited: 14
Electric load demand forecasting on Greek Energy Market using lightweight neural networks
Nikitas Maragkos, Maria Tzelepi, Nikolaos Passalis, et al.
(2022) Vol. 11, pp. 1-5
Closed Access | Times Cited: 8
Exploring Load Forecasting: Bridging Statistical Methods to Deep Learning Techniques in Real-World Environment
Ioannis Makris, Nikolaos Moschos, Panagiotis Radoglou-Grammatikis, et al.
(2024), pp. 491-496
Closed Access | Times Cited: 1
Hierarchical Multiobjective Distributed Deep Learning for Residential Short-Term Electric Load Forecasting
Yuiko Sakuma, Hiroaki Nishi
IEEE Access (2022) Vol. 10, pp. 69950-69962
Open Access | Times Cited: 6
Forecasting day-ahead electric load demand on Greek Energy Market
Maria Tzelepi, Anastasios Tefas
(2022), pp. 1-4
Closed Access | Times Cited: 6
Generating hourly electricity demand data for large-scale single-family buildings by a decomposition-recombination method
Mengjie Han, Fatemeh Johari, Pei Huang, et al.
Energy and Built Environment (2022) Vol. 4, Iss. 4, pp. 418-431
Open Access | Times Cited: 5
Platform-Independent Web Application for Short-Term Electric Power Load Forecasting on 33/11 kV Substation Using Regression Tree
Venkataramana Veeramsetty, Modem Sai Pavan Kumar, Surender Reddy Salkuti
Computers (2022) Vol. 11, Iss. 8, pp. 119-119
Open Access | Times Cited: 5
Stacking Machine Learning Models to Forecast Hourly and Daily Electricity Consumption of Household Using Internet of Things

Journal of Scientific & Industrial Research (2021) Vol. 80, Iss. 10
Open Access | Times Cited: 6
Adaptive Load Forecasting Methodology Based on Generalized Additive Model with Automatic Variable Selection
Sovjetka Krstonijević
Sensors (2022) Vol. 22, Iss. 19, pp. 7247-7247
Open Access | Times Cited: 4
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
Short-Term Electric Load Demand Forecasting on Greek Energy Market using Deep Learning: A comparative study
George Emmanouilidis, Maria Tzelepi, Anastasios Tefas
(2022), pp. 1-4
Closed Access | Times Cited: 4
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
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