Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Forecasting residential electricity consumption using a hybrid machine learning model with online search data
Feng Gao, Hong Chi, Xueyan Shao
Applied Energy (2021) Vol. 300, pp. 117393-117393
Closed Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

A review on the integration and optimization of distributed energy systems
Fukang Ren, Ziqing Wei, Xiaoqiang Zhai
Renewable and Sustainable Energy Reviews (2022) Vol. 162, pp. 112440-112440
Closed Access | Times Cited: 75
Probabilistic-based electricity demand forecasting with hybrid convolutional neural network-extreme learning machine model
Sujan Ghimire, Ravinesh C. Deo, David Casillas-Pérez, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 107918-107918
Closed Access | Times Cited: 15
Mid-term electricity demand forecasting using improved variational mode decomposition and extreme learning machine optimized by sparrow search algorithm
Tian Gao, Dongxiao Niu, Zhengsen Ji, et al.
Energy (2022) Vol. 261, pp. 125328-125328
Closed Access | Times Cited: 43
A novel two-stage seasonal grey model for residential electricity consumption forecasting
Pei Du, Ju’e Guo, Shaolong Sun, et al.
Energy (2022) Vol. 258, pp. 124664-124664
Closed Access | Times Cited: 39
Optimal dispatch of a multi-energy system microgrid under uncertainty: A renewable energy community in Austria
Nikolaus Houben, Armin Cosic, Michael Städler, et al.
Applied Energy (2023) Vol. 337, pp. 120913-120913
Open Access | Times Cited: 37
Data sharing in energy systems
Jianxiao Wang, Feng Gao, Yangze Zhou, et al.
Advances in Applied Energy (2023) Vol. 10, pp. 100132-100132
Open Access | Times Cited: 26
Prediction of energy-related carbon emission intensity in China, America, India, Russia, and Japan using a novel self-adaptive grey generalized Verhulst model
Xuemei Li, Zhiguo Zhao, Yufeng Zhao, et al.
Journal of Cleaner Production (2023) Vol. 423, pp. 138656-138656
Closed Access | Times Cited: 22
Household Energy Consumption Prediction Using the Stationary Wavelet Transform and Transformers
Lyes Saad Saoud, Hasan Al-Marzouqi, Ramy Hussein
IEEE Access (2022) Vol. 10, pp. 5171-5183
Open Access | Times Cited: 33
Analyzing the influence of geopolitical risks on European power prices using a multiresolution causal neural network
Foued Saâdaoui, Sami Ben Jabeur
Energy Economics (2023) Vol. 124, pp. 106793-106793
Closed Access | Times Cited: 17
Seasonal electricity consumption forecasting: an approach with novel weakening buffer operator and fractional order accumulation grey model
Chuanmin Mi, Xiaoyi Gou, Yating Ren, et al.
Grey Systems Theory and Application (2024) Vol. 14, Iss. 2, pp. 414-428
Closed Access | Times Cited: 5
An ensemble forecasting system for short-term power load based on multi-objective optimizer and fuzzy granulation
Jianzhou Wang, Qianyi Xing, Bo Zeng, et al.
Applied Energy (2022) Vol. 327, pp. 120042-120042
Closed Access | Times Cited: 27
A Novel Intelligent Forecasting Framework for Quarterly or Monthly Energy Consumption
Chong Liu, Hegui Zhu, Yuchen Ren, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 4, pp. 5352-5363
Closed Access | Times Cited: 15
A novel temporal domain adaptation framework for residential electricity consumption forecasting under incomplete information
Sheng Li, Xiaoxiao Xu, Yadong Xu, et al.
Energy and Buildings (2025), pp. 115513-115513
Closed Access
Future hotter summer greatly increases residential electricity consumption in Beijing: A study based on different house layouts and shared socioeconomic pathways
Qiyuan Hu, Jiayue Tang, Xiang Gao, et al.
Sustainable Cities and Society (2023) Vol. 91, pp. 104453-104453
Closed Access | Times Cited: 10
Transfer learning-based adaptive recursive neural network for short-term non-stationary building heating load prediction
Yong Zhou, Xiang Li, Yanfeng Liu, et al.
Journal of Building Engineering (2023) Vol. 76, pp. 107271-107271
Closed Access | Times Cited: 9
Carbon emission and thermal comfort prediction model for an office building considering the contribution rate of design parameters
Ruijun Chen, Yaw-Shyan Tsay
Energy Reports (2022) Vol. 8, pp. 8093-8107
Open Access | Times Cited: 15
An Overview of Forecasting Methods for Monthly Electricity Consumption

Tehnicki vjesnik - Technical Gazette (2023) Vol. 30, Iss. 3
Open Access | Times Cited: 7
A Comparison Study of Predictive Models for Electricity Demand in a Diverse Urban Environment
Jorge E. Pesantez, Binbin Li, C. Lee, et al.
Energy (2023) Vol. 283, pp. 129142-129142
Closed Access | Times Cited: 7
Electricity consumption prediction based on a dynamic decomposition-denoising-ensemble approach
Feng Gao, Xueyan Shao
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108521-108521
Closed Access | Times Cited: 2
Powering the future: Unraveling residential building characteristics for accurate prediction of total electricity consumption during summer heat
Yuyang Zhang, Wenke Ma, Pengcheng Du, et al.
Applied Energy (2024) Vol. 376, pp. 124146-124146
Closed Access | Times Cited: 2
Decoupling analysis and forecast of economic growth from electricity consumption in the Yangtze River Delta region, China
Xiangyang Zhao, Jie Zhang, Chenjun Zhang, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 57, pp. 120422-120460
Closed Access | Times Cited: 6
Impact of customer portrait information superiority on competitive pricing of EV fast-charging stations
Yujie Sheng, Hongtai Zeng, Qinglai Guo, et al.
Applied Energy (2023) Vol. 348, pp. 121412-121412
Closed Access | Times Cited: 5
Improved Active and Reactive Energy Forecasting Using a Stacking Ensemble Approach: Steel Industry Case Study
Hamza Mubarak, M. J. Sanjari, Sascha Stegen, et al.
Energies (2023) Vol. 16, Iss. 21, pp. 7252-7252
Open Access | Times Cited: 5
Predicting Electricity Consumption in Microgrid-Based Educational Building Using Google Trends, Google Mobility, and COVID-19 Data in the Context of COVID-19 Pandemic
Meditya Wasesa, Dinda Thalia Andariesta, Mochammad Agus Afrianto, et al.
IEEE Access (2022) Vol. 10, pp. 32255-32270
Open Access | Times Cited: 8
Coupling the Causal Inference and Informer Networks for Short-term Forecasting in Irrigation Water Usage
Liangfeng Zou, Yuanyuan Zha, Yuqing Diao, et al.
Water Resources Management (2022) Vol. 37, Iss. 1, pp. 427-449
Closed Access | Times Cited: 6
Page 1 - Next Page

Scroll to top