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:

Electricity price forecast based on the STL-TCN-NBEATS model
Biao Zhang, Chao Song, Xuchu Jiang, et al.
Heliyon (2023) Vol. 9, Iss. 1, pp. e13029-e13029
Open Access | Times Cited: 24

Showing 24 citing articles:

Hybrid framework combining grey system model with Gaussian process and STL for CO2 emissions forecasting in developed countries
Hong Yuan, Xin Ma, Minda Ma, et al.
Applied Energy (2024) Vol. 360, pp. 122824-122824
Closed Access | Times Cited: 21
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
Short-term load forecasting method based on secondary decomposition and improved hierarchical clustering
Wenting Zha, Yongqiang Ji, Liang Chen
Results in Engineering (2024) Vol. 22, pp. 101993-101993
Open Access | Times Cited: 13
DIGWO-N-BEATS: An evolutionary time series prediction method for situation prediction
Hao Lin, Chundong Wang
Information Sciences (2024) Vol. 664, pp. 120316-120316
Closed Access | Times Cited: 10
SMGformer: integrating STL and multi-head self-attention in deep learning model for multi-step runoff forecasting
Wenchuan Wang, M. H. Gu, Yang-hao Hong, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 8
Effective LSTMs with seasonal-trend decomposition and adaptive learning and niching-based backtracking search algorithm for time series forecasting
Yuhan Wu, Xiyu Meng, Junru Zhang, et al.
Expert Systems with Applications (2023) Vol. 236, pp. 121202-121202
Closed Access | Times Cited: 22
MSV-net: Multi-scale visual-inspired network for short-term electricity price forecasting
Han Wu, Yan Liang, Jiani Heng, et al.
Energy (2024) Vol. 291, pp. 130350-130350
Closed Access | Times Cited: 8
Data-Driven Techniques for Short-Term Electricity Price Forecasting through Novel Deep Learning Approaches with Attention Mechanisms
Vasileios Laitsos, Georgios Vontzos, Dimitrios Bargiotas, et al.
Energies (2024) Vol. 17, Iss. 7, pp. 1625-1625
Open Access | Times Cited: 7
An innovative deep learning model for accurate wave height predictions with enhanced performance for extreme waves
Xinlin Lü, Zhong Peng, C. Li, et al.
Ocean Engineering (2025) Vol. 322, pp. 120502-120502
Closed Access
Forecasting International Electricity Market Prices by Using Optimized Machine Learning Systems
Salim Lahmiri
Smart Grids and Sustainable Energy (2025) Vol. 10, Iss. 1
Closed Access
Dynamic energy cost prediction for industrial and commercial buildings using advanced Machine Learning and multi-pricing models
Qazi Waqas Khan, Anam Nawaz Khan, Bibi Misbah, et al.
Journal of Building Engineering (2025), pp. 112055-112055
Open Access
Optimal Scheduling of Biomass-Hybrid Microgrids with Energy Storage: An LSTM-PMOEVO Framework for Uncertain Environments
Zichong Wang, Yingying Zheng
Applied Sciences (2025) Vol. 15, Iss. 5, pp. 2702-2702
Open Access
Advanced Solar Irradiance Forecasting Using Hybrid Ensemble Deep Learning and Multisite Data Analytics for Optimal Solar‐Hydro Hybrid Power Plants
Sudharshan Konduru, C. Naveen, Jagabar Sathik Mohamed Ali
International Transactions on Electrical Energy Systems (2025) Vol. 2025, Iss. 1
Open Access
Half-hourly electricity price prediction model with explainable-decomposition hybrid deep learning approach
Sujan Ghimire, Ravinesh C. Deo, Konstantin Hopf, et al.
Energy and AI (2025), pp. 100492-100492
Open Access
Long-term policy guidance for sustainable energy transition in Nigeria: A deep learning-based peak load forecasting with econo-environmental scenario analysis
Israel A. Bayode, Abdulrahman H. Ba-Alawi, Hai-Tra Nguyen, et al.
Energy (2025), pp. 135707-135707
Closed Access
Flight short-term booking demand forecasting based on a long short-term memory network
Haonan He, Liangyu Chen, Shanyong Wang
Computers & Industrial Engineering (2023) Vol. 186, pp. 109707-109707
Closed Access | Times Cited: 8
An Intra-Day Electricity Price Forecasting Based on a Probabilistic Transformer Neural Network Architecture
Sergio Cantillo-Luna, Ricardo Moreno‐Chuquen, Jesus Lopez-Sotelo, et al.
Energies (2023) Vol. 16, Iss. 19, pp. 6767-6767
Open Access | Times Cited: 4
A multi-algorithm fusion model for predicting automotive fuel cell system demand power
Donghai Hu, Angang Chen, Dagang Lu, et al.
Journal of Cleaner Production (2024) Vol. 466, pp. 142848-142848
Closed Access | Times Cited: 1
Electricity and cryptocurrency mining: An empirical contribution
David Iheke Okorie, Joel Miworse Gnatchiglo, Presley K. Wesseh
Heliyon (2024) Vol. 10, Iss. 13, pp. e33483-e33483
Open Access | Times Cited: 1
AI and Machine Learning Applications in Predicting Energy Market Prices and Trends
Gunjan Sharma, M. L. Dhore, D Jansirani, et al.
E3S Web of Conferences (2024) Vol. 591, pp. 01002-01002
Open Access | Times Cited: 1
Modeling hydro, nuclear, and renewable electricity generation in India: An atom search optimization-based EEMD-DBSCAN framework and explainable AI
Indranil Ghosh, Esteban Alfaro, Matías Gámez, et al.
Heliyon (2023) Vol. 10, Iss. 1, pp. e23434-e23434
Open Access | Times Cited: 3
Electric Heating Load Prediction Based on TCN-LSTM Hybrid Neural Network
Gaoqiang Qu, Zifa Liu, Bo Gao, et al.
Lecture notes in electrical engineering (2024), pp. 319-333
Closed Access
Efficient prediction for Blast Furnace Gas holder level using novel preprocessing techniques and weight correction strategy
Zeying Li, Hongzeng Wang, Jinhua Qian, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109223-109223
Closed Access
The Application of Time Series Models Considering Seasonality in Monthly Electricity Production Forecasting
Trung Thong Hoang, Hung Nguyen, My Ha Le, et al.
(2024), pp. 200-206
Closed Access
Page 1

Scroll to top