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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:

An adaptive hybrid model for short term electricity price forecasting
Jinliang Zhang, Zhongfu Tan, Yi‐Ming Wei
Applied Energy (2019) Vol. 258, pp. 114087-114087
Closed Access | Times Cited: 132

Showing 1-25 of 132 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: 744
Short-term electricity price and load forecasting in isolated power grids based on composite neural network and gravitational search optimization algorithm
Azim Heydari, Meysam Majidi Nezhad, Elmira Pirshayan, et al.
Applied Energy (2020) Vol. 277, pp. 115503-115503
Closed Access | Times Cited: 160
Electricity price forecasting with high penetration of renewable energy using attention-based LSTM network trained by crisscross optimization
Anbo Meng, Peng Wang, Guangsong Zhai, et al.
Energy (2022) Vol. 254, pp. 124212-124212
Closed Access | Times Cited: 92
Deep learning for renewable energy forecasting: A taxonomy, and systematic literature review
Changtian Ying, Weiqing Wang, Jiong Yu, et al.
Journal of Cleaner Production (2022) Vol. 384, pp. 135414-135414
Closed Access | Times Cited: 75
Aggregating Prophet and Seasonal Trend Decomposition for Time Series Forecasting of Italian Electricity Spot Prices
Stéfano Frizzo Stefenon, Laio Oriel Seman, Viviana Cocco Mariani, et al.
Energies (2023) Vol. 16, Iss. 3, pp. 1371-1371
Open Access | Times Cited: 70
Energy 4.0: AI-enabled digital transformation for sustainable power networks
Muhammad Khalid
Computers & Industrial Engineering (2024) Vol. 193, pp. 110253-110253
Closed Access | Times Cited: 24
A novel machine learning-based electricity price forecasting model based on optimal model selection strategy
Wendong Yang, Shaolong Sun, Hao Yan, et al.
Energy (2021) Vol. 238, pp. 121989-121989
Closed Access | Times Cited: 102
A novel hybrid deep neural network model for short‐term electricity price forecasting
Chiou‐Jye Huang, Yamin Shen, Yung‐Hsiang Chen, et al.
International Journal of Energy Research (2020) Vol. 45, Iss. 2, pp. 2511-2532
Open Access | Times Cited: 101
Recent progress in sustainable energy-efficient technologies and environmental impacts on energy systems
Milan Vujanović, Qiuwang Wang, Mousa S. Mohsen, et al.
Applied Energy (2020) Vol. 283, pp. 116280-116280
Closed Access | Times Cited: 99
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
Forecasting electricity consumption using a novel hybrid model
Guo‐Feng Fan, Xiao Wei, Yating Li, et al.
Sustainable Cities and Society (2020) Vol. 61, pp. 102320-102320
Closed Access | Times Cited: 78
Electricity Price Forecasting Based on Self-Adaptive Decomposition and Heterogeneous Ensemble Learning
Matheus Henrique Dal Molin Ribeiro, Stéfano Frizzo Stefenon, José Donizetti de Lima, et al.
Energies (2020) Vol. 13, Iss. 19, pp. 5190-5190
Open Access | Times Cited: 75
Data augmentation for time series regression: Applying transformations, autoencoders and adversarial networks to electricity price forecasting
Sumeyra Demir, Krystof Mincev, Koen Kok, et al.
Applied Energy (2021) Vol. 304, pp. 117695-117695
Open Access | Times Cited: 75
Decomposition-selection-ensemble forecasting system for energy futures price forecasting based on multi-objective version of chaos game optimization algorithm
Ping Jiang, Zhenkun Liu, Jianzhou Wang, et al.
Resources Policy (2021) Vol. 73, pp. 102234-102234
Closed Access | Times Cited: 69
Hybridization of hybrid structures for time series forecasting: a review
Zahra Hajirahimi, Mehdi Khashei
Artificial Intelligence Review (2022) Vol. 56, Iss. 2, pp. 1201-1261
Closed Access | Times Cited: 67
A novel structure adaptive new information priority discrete grey prediction model and its application in renewable energy generation forecasting
Xinbo He, Yong Wang, Yuyang Zhang, et al.
Applied Energy (2022) Vol. 325, pp. 119854-119854
Closed Access | Times Cited: 65
Monthly Henry Hub natural gas spot prices forecasting using variational mode decomposition and deep belief network
Jinchao Li, Qianqian Wu, Yu Tian, et al.
Energy (2021) Vol. 227, pp. 120478-120478
Closed Access | Times Cited: 58
Daily electricity price forecasting using artificial intelligence models in the Iranian electricity market
Mohammadreza Heidarpanah, Farhad Hooshyaripor, Meysam Fazeli
Energy (2022) Vol. 263, pp. 126011-126011
Closed Access | Times Cited: 53
Day-Ahead Electricity Price Forecasting Based on Hybrid Regression Model
Ali Najem Alkawaz, Abdallah Abdellatif, Jeevan Kanesan, et al.
IEEE Access (2022) Vol. 10, pp. 108021-108033
Open Access | Times Cited: 39
Short-term electricity price forecasting based on similarity day screening, two-layer decomposition technique and Bi-LSTM neural network
Keke Wang, Min Yu, Dongxiao Niu, et al.
Applied Soft Computing (2023) Vol. 136, pp. 110018-110018
Closed Access | Times Cited: 39
TLIA: Time-series forecasting model using long short-term memory integrated with artificial neural networks for volatile energy markets
Dalal AL-Alimi, Ayman Mutahar AlRassas, Mohammed A. A. Al‐qaness, et al.
Applied Energy (2023) Vol. 343, pp. 121230-121230
Closed Access | Times Cited: 26
A new framework for electricity price forecasting via multi-head self-attention and CNN-based techniques in the competitive electricity market
Alireza Pourdaryaei, Mohammad Mohammadi, Hamza Mubarak, et al.
Expert Systems with Applications (2023) Vol. 235, pp. 121207-121207
Open Access | Times Cited: 26
Two-step deep learning framework with error compensation technique for short-term, half-hourly electricity price forecasting
Sujan Ghimire, Ravinesh C. Deo, David Casillas-Pérez, et al.
Applied Energy (2023) Vol. 353, pp. 122059-122059
Open Access | Times Cited: 25
A novel structure adaptive discrete grey Bernoulli prediction model and its applications in energy consumption and production
Yong Wang, Rui Yang, Juan Zhang, et al.
Energy (2024) Vol. 291, pp. 130368-130368
Closed Access | Times Cited: 13
Global progress towards the Coal: Tracking coal Reserves, coal Prices, electricity from Coal, carbon emissions and coal Phase-Out
Muhammad Amir Raza, Abdul Karim, M.M. Aman, et al.
Gondwana Research (2024)
Closed Access | Times Cited: 10
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