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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:

A dynamic ensemble method for residential short-term load forecasting
Yu Yang, Fan Jinfu, Zhongjie Wang, et al.
Alexandria Engineering Journal (2022) Vol. 63, pp. 75-88
Open Access | Times Cited: 16

Showing 16 citing articles:

Short-Term Load Forecasting Models: A Review of Challenges, Progress, and the Road Ahead
Saima Akhtar, Sulman Shahzad, Asad Zaheer, et al.
Energies (2023) Vol. 16, Iss. 10, pp. 4060-4060
Open Access | Times Cited: 50
Deep learning methods utilization in electric power systems
Saima Akhtar, Muhammad Adeel, Muhammad Iqbal, et al.
Energy Reports (2023) Vol. 10, pp. 2138-2151
Open Access | Times Cited: 31
Novel optimization approach for realized volatility forecast of stock price index based on deep reinforcement learning model
Yuanyuan Yu, Yu Lin, Xianping Hou, et al.
Expert Systems with Applications (2023) Vol. 233, pp. 120880-120880
Closed Access | Times Cited: 24
Enhancing interpretability in power management: A time-encoded household energy forecasting using hybrid deep learning model
Hamza Mubarak, Sascha Stegen, Feifei Bai, et al.
Energy Conversion and Management (2024) Vol. 315, pp. 118795-118795
Open Access | Times Cited: 9
Combined electricity load-forecasting system based on weighted fuzzy time series and deep neural networks
Zhining Cao, Jianzhou Wang, Yurui Xia
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 108375-108375
Closed Access | Times Cited: 8
A two stage approach to electricity theft detection in AMI using deep learning
Mahdi Emadaleslami, Mahmoud‐Reza Haghifam, Mansoureh Zangiabadi
International Journal of Electrical Power & Energy Systems (2023) Vol. 150, pp. 109088-109088
Closed Access | Times Cited: 16
Energy management of the grid-connected residential photovoltaic-battery system using model predictive control coupled with dynamic programming
Bin Zou, Jinqing Peng, Rongxin Yin, et al.
Energy and Buildings (2022) Vol. 279, pp. 112712-112712
Closed Access | Times Cited: 23
An indoor thermal environment control model based on multimodal perception and reinforcement learning
Yan Ding, Shengze Lu, Tiantian Li, et al.
Building and Environment (2025), pp. 112863-112863
Closed Access
Spatial and Temporal Attention-Enabled Transformer Network for Multivariate Short-Term Residential Load Forecasting
Hongshan Zhao, Yuchen Wu, Libo Ma, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 8
Probabilistic forecast-based portfolio optimization of electricity demand at low aggregation levels
Jungyeon Park, Estêvão Alvarenga, Jooyoung Jeon, et al.
Applied Energy (2023) Vol. 353, pp. 122109-122109
Open Access | Times Cited: 7
A Contiguous Temporal Chebyshev Convolutional Optimized Network (CoC-TemNet) Model for Energy Prediction in IoT Enabled Smart City Networks
K. Priyadarsini, Karthik Sekhar, Praveen Kumar Sekhar
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 23630-23643
Closed Access | Times Cited: 1
Comparison of Ensemble Learning Methods for Mining the Implementation of the 7 Ps Marketing Mix on TripAdvisor Restaurant Customer Review Data
Budi Sunarko, Uswatun Hasanah, Syahroni Hidayat
International Journal of Artificial Intelligence Research (2023) Vol. 7, Iss. 2, pp. 163-163
Open Access | Times Cited: 2
Electricity Load Forecasting Using LSTM for Household Usage
P. Sudhanya, Sarjito Surya, Shreyas Balihallimath, et al.
Algorithms for intelligent systems (2024), pp. 35-50
Closed Access
Multi-user Load Forecasting Method Based on Multi-scenario Algorithm Models
Jinlong Sun, Guangjun He, Chao Xiao, et al.
(2024), pp. 763-770
Closed Access
Exploiting Context and Attention Using Recurrent Neural Network for Sensor Time Series Prediction
Rashmi Dutta Baruah, Mario Muñoz-Organero
Lecture notes in computer science (2023), pp. 243-259
Closed Access | Times Cited: 1
Implementation of Digital Marketing Strategy with Chatbot Technology
Farhan Fathur Ramadhan, Andri Sahata Sitanggang, Julian Chandra Wibawa, et al.
International Journal of Artificial Intelligence Research (2023) Vol. 7, Iss. 2, pp. 132-132
Open Access | Times Cited: 1
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