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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 novel hybrid forecasting scheme for electricity demand time series
Ranran Li, Ping Jiang, Hufang Yang, et al.
Sustainable Cities and Society (2020) Vol. 55, pp. 102036-102036
Closed Access | Times Cited: 65

Showing 1-25 of 65 citing articles:

Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities
Tanveer Ahmad, Dongdong Zhang, Chao Huang, et al.
Journal of Cleaner Production (2021) Vol. 289, pp. 125834-125834
Open Access | Times Cited: 707
Short-term electricity load and price forecasting by a new optimal LSTM-NN based prediction algorithm
Gholamreza Memarzadeh, Farshid Keynia
Electric Power Systems Research (2020) Vol. 192, pp. 106995-106995
Closed Access | Times Cited: 177
Evaluating the performances of several artificial intelligence methods in forecasting daily streamflow time series for sustainable water resources management
Wen-jing Niu, Zhong-kai Feng
Sustainable Cities and Society (2020) Vol. 64, pp. 102562-102562
Closed Access | Times Cited: 152
Ensemble forecasting system for short-term wind speed forecasting based on optimal sub-model selection and multi-objective version of mayfly optimization algorithm
Zhenkun Liu, Ping Jiang, Jianzhou Wang, et al.
Expert Systems with Applications (2021) Vol. 177, pp. 114974-114974
Closed Access | Times Cited: 142
Fractional multivariate grey Bernoulli model combined with improved grey wolf algorithm: Application in short-term power load forecasting
Yin Chen, Shuhua Mao
Energy (2023) Vol. 269, pp. 126844-126844
Closed Access | Times Cited: 63
Hybrid ensemble intelligent model based on wavelet transform, swarm intelligence and artificial neural network for electricity demand forecasting
Eric Ofori-Ntow, Yao Yevenyo Ziggah, Susana Relvas
Sustainable Cities and Society (2020) Vol. 66, pp. 102679-102679
Closed Access | Times Cited: 92
A hybrid multi-objective optimizer-based model for daily electricity demand prediction considering COVID-19
Hongfang Lü, Xin Ma, Minda Ma
Energy (2020) Vol. 219, pp. 119568-119568
Open Access | Times Cited: 74
Two novel hybrid linear and nonlinear models for wind speed forecasting
Xiaojia Huang, Jianzhou Wang, Bingqing Huang
Energy Conversion and Management (2021) Vol. 238, pp. 114162-114162
Closed Access | Times Cited: 67
Artificial intelligence driven hydrogen and battery technologies – A review
A. Ramesh, S. Vigneshwar, Sundaram Vickram, et al.
Fuel (2022) Vol. 337, pp. 126862-126862
Closed Access | Times Cited: 61
A novel multiscale forecasting model for crude oil price time series
Ranran Li, Yucai Hu, Jiani Heng, et al.
Technological Forecasting and Social Change (2021) Vol. 173, pp. 121181-121181
Closed Access | Times Cited: 55
Short-term Load Forecasting of Multi-Energy in Integrated Energy System Based on Multivariate Phase Space Reconstruction and Support Vector Regression Mode
Haoming Liu, Yu Tang, Yue Pu, et al.
Electric Power Systems Research (2022) Vol. 210, pp. 108066-108066
Closed Access | Times Cited: 49
Cooperative ensemble learning model improves electric short-term load forecasting
Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, Gabriel Trierweiler Ribeiro, et al.
Chaos Solitons & Fractals (2022) Vol. 166, pp. 112982-112982
Closed Access | Times Cited: 45
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
Hyperparameter Optimization of Regression Model for Electrical Load Forecasting During the COVID-19 Pandemic Lockdown Period
Mohammed Saif, Mohanad A. Deif, Hani Attar, et al.
International journal of intelligent engineering and systems (2023) Vol. 16, Iss. 4, pp. 239-253
Open Access | Times Cited: 30
Hidden Markov guided Deep Learning models for forecasting highly volatile agricultural commodity prices
G. Avinash, V. Ramasubramanian, Mrinmoy Ray, et al.
Applied Soft Computing (2024) Vol. 158, pp. 111557-111557
Closed Access | Times Cited: 11
A similarity based hybrid GWO-SVM method of power system load forecasting for regional special event days in anomalous load situations in Assam, India
Mayur Barman, Nalin B. Dev Choudhury
Sustainable Cities and Society (2020) Vol. 61, pp. 102311-102311
Closed Access | Times Cited: 66
Accurate forecasting of building energy consumption via a novel ensembled deep learning method considering the cyclic feature
Guiqing Zhang, Chenlu Tian, Chengdong Li, et al.
Energy (2020) Vol. 201, pp. 117531-117531
Open Access | Times Cited: 60
Electric load prediction based on a novel combined interval forecasting system
Jianzhou Wang, Jialu Gao, Danxiang Wei
Applied Energy (2022) Vol. 322, pp. 119420-119420
Closed Access | Times Cited: 29
A combined forecasting framework including point prediction and interval prediction for carbon emission trading prices
Xinsong Niu, Jiyang Wang, Danxiang Wei, et al.
Renewable Energy (2022) Vol. 201, pp. 46-59
Closed Access | Times Cited: 28
A review on short‐term load forecasting models for micro‐grid application
V. Y. Kondaiah, B. Saravanan, Sanjeevikumar Padmanaban, et al.
The Journal of Engineering (2022) Vol. 2022, Iss. 7, pp. 665-689
Open Access | Times Cited: 27
An Optimized Extreme Learning Machine Composite Framework for Point, Probabilistic, and Quantile Regression Forecasting of Carbon Price
Xu‐Ming Wang, Jiaqi Zhou, Xiaobing Yu
Process Safety and Environmental Protection (2025), pp. 106772-106772
Closed Access
LEAP simulated economic evaluation of sustainable scenarios to fulfill the regional electricity demand in Pakistan
Muhammad Shahid, Kafait Ullah, Kashif Imran, et al.
Sustainable Energy Technologies and Assessments (2021) Vol. 46, pp. 101292-101292
Open Access | Times Cited: 36
Point and interval prediction for non-ferrous metals based on a hybrid prediction framework
Jianzhou Wang, Xinsong Niu, Linyue Zhang, et al.
Resources Policy (2021) Vol. 73, pp. 102222-102222
Closed Access | Times Cited: 36
Understanding the power disruption and its impact on community development: An empirical case of Pakistan
Shahid Hussain, Xuetong Wang, Rashid Maqbool
Sustainable Energy Technologies and Assessments (2022) Vol. 55, pp. 102922-102922
Closed Access | Times Cited: 24
Instantaneous Electricity Peak Load Forecasting Using Optimization and Machine Learning
Mustafa Saglam, Xiaojing Lv, Catalina Spataru, et al.
Energies (2024) Vol. 17, Iss. 4, pp. 777-777
Open Access | Times Cited: 4
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