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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 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

Showing 1-25 of 70 citing articles:

Bagging–XGBoost algorithm based extreme weather identification and short-term load forecasting model
Xuzhi Deng, Aoshuang Ye, Jiashi Zhong, et al.
Energy Reports (2022) Vol. 8, pp. 8661-8674
Open Access | Times Cited: 75
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
A novel asynchronous deep reinforcement learning model with adaptive early forecasting method and reward incentive mechanism for short-term load forecasting
Wenyu Zhang, Qian Chen, Jianyong Yan, et al.
Energy (2021) Vol. 236, pp. 121492-121492
Closed Access | Times Cited: 78
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
A Novel Temporal Feature Selection Based LSTM Model for Electrical Short-Term Load Forecasting
Khalid Ijaz, Zawar Hussain, Jameel Ahmad, et al.
IEEE Access (2022) Vol. 10, pp. 82596-82613
Open Access | Times Cited: 42
Reinforcement learning-based scheduling strategy for energy storage in microgrid
Kunshu Zhou, Kaile Zhou, Shanlin Yang
Journal of Energy Storage (2022) Vol. 51, pp. 104379-104379
Closed Access | Times Cited: 40
Short-term district power load self-prediction based on improved XGBoost model
Wangbin Cao, Yanping Liu, Huawei Mei, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106826-106826
Closed Access | Times Cited: 37
Current status, challenges, and prospects of data-driven urban energy modeling: A review of machine learning methods
Prajowal Manandhar, Hasan Rafiq, Edwin Rodríguez-Ubiñas
Energy Reports (2023) Vol. 9, pp. 2757-2776
Open Access | Times Cited: 30
Electricity demand error corrections with attention bi-directional neural networks
Sujan Ghimire, Ravinesh C. Deo, David Casillas-Pérez, et al.
Energy (2024) Vol. 291, pp. 129938-129938
Closed Access | Times Cited: 12
Interval forecasting system for electricity load based on data pre-processing strategy and multi-objective optimization algorithm
Jianzhou Wang, Linyue Zhang, Zhiwu Li
Applied Energy (2021) Vol. 305, pp. 117911-117911
Closed Access | Times Cited: 55
Probabilistic electric load forecasting through Bayesian Mixture Density Networks
Alessandro Brusaferri, Matteo Matteucci, Stefano Spinelli, et al.
Applied Energy (2022) Vol. 309, pp. 118341-118341
Open Access | Times Cited: 35
Experimental investigation of variational mode decomposition and deep learning for short-term multi-horizon residential electric load forecasting
Mohamed Aymane Ahajjam, Daniel Bonilla Licea, Mounir Ghogho, et al.
Applied Energy (2022) Vol. 326, pp. 119963-119963
Open Access | Times Cited: 34
Efficient daily electricity demand prediction with hybrid deep-learning multi-algorithm approach
Sujan Ghimire, Ravinesh C. Deo, David Casillas-Pérez, et al.
Energy Conversion and Management (2023) Vol. 297, pp. 117707-117707
Open Access | Times Cited: 20
Long-Term Energy and Peak Power Demand Forecasting Based on Sequential-XGBoost
Tingze Zhang, Xinan Zhang, Osaka Rubasinghe, et al.
IEEE Transactions on Power Systems (2023) Vol. 39, Iss. 2, pp. 3088-3104
Closed Access | Times Cited: 18
Introducing a novel approach in one-step ahead energy load forecasting
Paraskevas Koukaras, Napoleon Bezas, Paschalis A. Gkaidatzis, et al.
Sustainable Computing Informatics and Systems (2021) Vol. 32, pp. 100616-100616
Closed Access | Times Cited: 28
Evolutionary Hybrid System for Energy Consumption Forecasting for Smart Meters
Diogo M. F. Izidio, Paulo S. G. de Mattos Neto, Luciano Barbosa, et al.
Energies (2021) Vol. 14, Iss. 7, pp. 1794-1794
Open Access | Times Cited: 27
Short-term individual residential load forecasting using an enhanced machine learning-based approach based on a feature engineering framework: A comparative study with deep learning methods
Ali Forootani, Mohammad Rastegar, Ashkan Sami
Electric Power Systems Research (2022) Vol. 210, pp. 108119-108119
Closed Access | Times Cited: 21
EGD-SNet: A computational search engine for predicting an end-to-end machine learning pipeline for Energy Generation & Demand Forecasting
Faiza Mehmood, Muhammad Usman Ghani Khan, Hina Ghafoor, et al.
Applied Energy (2022) Vol. 324, pp. 119754-119754
Closed Access | Times Cited: 20
Tackling the duck curve in renewable power system: A multi-task learning model with iTransformer for net-load forecasting
Jixue Pei, Nian Liu, Jiaqi Shi, et al.
Energy Conversion and Management (2025) Vol. 326, pp. 119442-119442
Closed Access
AECF-UC: An Adaptive Electricity Consumption Forecast Approach for Universal Environments
Shiqi Zhou, Saisai Ni, Yifeng Han, et al.
Research Square (Research Square) (2025)
Closed Access
Privacy-Preserving Regulation Capacity Evaluation for HVAC Systems in Heterogeneous Buildings Based on Federated Learning and Transfer Learning
Zhenyi Wang, Peipei Yu, Hongcai Zhang
IEEE Transactions on Smart Grid (2022) Vol. 14, Iss. 5, pp. 3535-3549
Closed Access | Times Cited: 17
Load extraction from actual operation data for data-driven ultra-short-term room air-conditioning load prediction
Zhe Tian, Wenjie Song, Yakai Lu, et al.
Energy and Buildings (2023) Vol. 296, pp. 113348-113348
Closed Access | Times Cited: 10
Drill Tools Sticking Prediction Based on Adaptive Long Short-Term Memory
Honglin Wu, Zhongbin Wang, Lei Si, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086134-086134
Closed Access | Times Cited: 3
Impacts of COVID-19 related stay-at-home restrictions on residential electricity use and implications for future grid stability
Lechen Li, Christoph J. Meinrenken, Vijay Modi, et al.
Energy and Buildings (2021) Vol. 251, pp. 111330-111330
Open Access | Times Cited: 21
The Carbon Catalogue, carbon footprints of 866 commercial products from 8 industry sectors and 5 continents
Christoph J. Meinrenken, Daniel Chen, Ricardo A. Esparza, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 14
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