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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 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: 99

Showing 1-25 of 99 citing articles:

Hybrid VMD-CNN-GRU-based model for short-term forecasting of wind power considering spatio-temporal features
Zeni Zhao, Sining Yun, Lingyun Jia, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 105982-105982
Closed Access | Times Cited: 148
Water Quality Prediction for Smart Aquaculture Using Hybrid Deep Learning Models
K. P. Rasheed Abdul Haq, V. P. Harigovindan
IEEE Access (2022) Vol. 10, pp. 60078-60098
Open Access | Times Cited: 89
Deep Neural Networks for Predicting Solar Radiation at Hail Region, Saudi Arabia
Sahbi Boubaker, M. Benghanem, A. Mellit, et al.
IEEE Access (2021) Vol. 9, pp. 36719-36729
Open Access | Times Cited: 75
A holistic review on energy forecasting using big data and deep learning models
Jayanthi Devaraj, Rajvikram Madurai Elavarasan, GM Shafiullah, et al.
International Journal of Energy Research (2021) Vol. 45, Iss. 9, pp. 13489-13530
Open Access | Times Cited: 75
Attention-Based Bi-Directional Long-Short Term Memory Network for Earthquake Prediction
Md. Hasan Al Banna, Tapotosh Ghosh, Md. Jaber Al Nahian, et al.
IEEE Access (2021) Vol. 9, pp. 56589-56603
Open Access | Times Cited: 62
Artificial Intelligence Enabled Demand Response: Prospects and Challenges in Smart Grid Environment
Muhammad Adnan Khan, Ahmed Mohammed Saleh, Muhammad Waseem, et al.
IEEE Access (2022) Vol. 11, pp. 1477-1505
Open Access | Times Cited: 62
Short term electricity price forecasting using a new hybrid model based on two-layer decomposition technique and ensemble learning
Tingting Zhang, Zhenpeng Tang, Junchuan Wu, et al.
Electric Power Systems Research (2022) Vol. 205, pp. 107762-107762
Closed Access | Times Cited: 42
Electricity price forecasting in New Zealand: A comparative analysis of statistical and machine learning models with feature selection
Gaurav Kapoor, Nuttanan Wichitaksorn
Applied Energy (2023) Vol. 347, pp. 121446-121446
Open Access | Times Cited: 32
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 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: 24
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: 35
A hybrid day-ahead electricity price forecasting framework based on time series
Xiaoping Xiong, Guohua Qing
Energy (2022) Vol. 264, pp. 126099-126099
Closed Access | Times Cited: 32
Electricity Load and Price Forecasting Using a Hybrid Method Based Bidirectional Long Short-Term Memory with Attention Mechanism Model
William Gomez, Fu‐Kwun Wang, Zemenu Endalamaw Amogne
International Journal of Energy Research (2023) Vol. 2023, pp. 1-18
Open Access | Times Cited: 18
Day-ahead electricity price forecasting employing a novel hybrid frame of deep learning methods: A case study in NSW, Australia
Yong Qiang Tan, Yan Shen, Xin Yu, et al.
Electric Power Systems Research (2023) Vol. 220, pp. 109300-109300
Closed Access | Times Cited: 17
A novel early‐warning standardized indicator for drought preparedness and management under multiple climate model projections
Sadia Qamar, Veysi Kartal, M. Emin Emiroğlu, et al.
Meteorological Applications (2025) Vol. 32, Iss. 1
Open Access
Perspectives for artificial intelligence in sustainable energy systems
Dongyu Chen, Xiaojie Lin, Yiyuan Qiao
Energy (2025), pp. 134711-134711
Closed Access
Enhanced electricity price forecasting in smart grids using an optimized hybrid convolutional Multi-Layer Perceptron deep network with Marine Predators Algorithm for feature selection
Bakir Abderrahim, Abdelkader Rami
Energy Sources Part B Economics Planning and Policy (2025) Vol. 20, Iss. 1
Closed Access
A CNN-LSTM Model for Tailings Dam Risk Prediction
Jun Yang, Jingbin Qu, Qiang Mi, et al.
IEEE Access (2020) Vol. 8, pp. 206491-206502
Open Access | Times Cited: 49
A feature extraction- and ranking-based framework for electricity spot price forecasting using a hybrid deep neural network
Zhen Shao, Qingru Zheng, Chen Liu, et al.
Electric Power Systems Research (2021) Vol. 200, pp. 107453-107453
Closed Access | Times Cited: 36
A Flexible and Robust Deep Learning-Based System for Solar Irradiance Forecasting
Ignacio-Iker Prado-Rujas, Antonio García-Dopico, Emilio Serrano, et al.
IEEE Access (2021) Vol. 9, pp. 12348-12361
Open Access | Times Cited: 35
A Robust Hybrid Deep Learning Model for Detection of Non-Technical Losses to Secure Smart Grids
Faisal Shehzad, Nadeem Javaid, Ahmad Almogren, et al.
IEEE Access (2021) Vol. 9, pp. 128663-128678
Open Access | Times Cited: 35
Multi-Task Learning for Electricity Price Forecasting and Resource Management in Cloud Based Industrial IoT Systems
Abdulwahab Ali Almazroi, Nasir Ayub
IEEE Access (2023) Vol. 11, pp. 54280-54295
Open Access | Times Cited: 14
A Novel Model for Spot Price Forecast of Natural Gas Based on Temporal Convolutional Network
Yadong Pei, Chiou‐Jye Huang, Yamin Shen, et al.
Energies (2023) Vol. 16, Iss. 5, pp. 2321-2321
Open Access | Times Cited: 12
Artificial intelligence-driven financial innovation: A robo-advisor system for robust returns across diversified markets
Qing Zhu, Chenyu Han, Shan Liu, et al.
Expert Systems with Applications (2025), pp. 126881-126881
Closed Access
Energy Price Prediction Based on BP Neural Network
Yaru Han, Chengsheng Zhang, Qifan Wu
Lecture notes on data engineering and communications technologies (2025), pp. 87-96
Closed Access
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