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:
Comparative Analysis of Machine Learning Models for Short-Term Net Load Forecasting in Renewable Integrated Microgrids
Georgios Tziolis, Javier Lopez‐Lorente, Maria-Iro Baka, et al.
(2022), pp. 1-5
Closed Access | Times Cited: 7
Georgios Tziolis, Javier Lopez‐Lorente, Maria-Iro Baka, et al.
(2022), pp. 1-5
Closed Access | Times Cited: 7
Showing 7 citing articles:
Direct short-term net load forecasting in renewable integrated microgrids using machine learning: A comparative assessment
Georgios Tziolis, Javier Lopez‐Lorente, Maria-Iro Baka, et al.
Sustainable Energy Grids and Networks (2023) Vol. 37, pp. 101256-101256
Open Access | Times Cited: 16
Georgios Tziolis, Javier Lopez‐Lorente, Maria-Iro Baka, et al.
Sustainable Energy Grids and Networks (2023) Vol. 37, pp. 101256-101256
Open Access | Times Cited: 16
Net Load Forecasting With Disaggregated Behind-the-Meter PV Generation
Anne Stratman, Tianqi Hong, Ming Yi, et al.
IEEE Transactions on Industry Applications (2023) Vol. 59, Iss. 5, pp. 5341-5351
Open Access | Times Cited: 9
Anne Stratman, Tianqi Hong, Ming Yi, et al.
IEEE Transactions on Industry Applications (2023) Vol. 59, Iss. 5, pp. 5341-5351
Open Access | Times Cited: 9
Direct Short-Term Net Load Forecasting Based on Machine Learning Principles for Solar-Integrated Microgrids
Georgios Tziolis, Andreas Livera, Jesús Montes‐Romero, et al.
IEEE Access (2023) Vol. 11, pp. 102038-102049
Open Access | Times Cited: 9
Georgios Tziolis, Andreas Livera, Jesús Montes‐Romero, et al.
IEEE Access (2023) Vol. 11, pp. 102038-102049
Open Access | Times Cited: 9
Direct Against Indirect Short-Term Net Load Forecasting Using Machine Learning Principles for Renewable Microgrids
Georgios Tziolis, Andreas Livera, Anna Michail, et al.
2022 IEEE International Smart Cities Conference (ISC2) (2023), pp. 1-5
Closed Access | Times Cited: 3
Georgios Tziolis, Andreas Livera, Anna Michail, et al.
2022 IEEE International Smart Cities Conference (ISC2) (2023), pp. 1-5
Closed Access | Times Cited: 3
An Autoencoder-Based Support Vector Machine Optimized with Bayesian Optimization for Net Load Forecasting with Uncertainty Estimation
Amir Hossein Baharvand, Sina Hossein Beigi Fard, Meysam Doostizadeh, et al.
(2024), pp. 1-6
Closed Access
Amir Hossein Baharvand, Sina Hossein Beigi Fard, Meysam Doostizadeh, et al.
(2024), pp. 1-6
Closed Access
Data-driven photovoltaic and wind power forecasting for distribution grids
Marco Pierro, Azim Heydari, David Moser, et al.
Elsevier eBooks (2024), pp. 371-392
Closed Access
Marco Pierro, Azim Heydari, David Moser, et al.
Elsevier eBooks (2024), pp. 371-392
Closed Access
Sensor-Assisted Machine Learning Models Approach to Equipoise Renewable Energy using Microgrids
H S Shreenidhi, Narayana Swamy Ramaiah
International Journal of Electronics and Communication Engineering (2023) Vol. 10, Iss. 7, pp. 63-73
Open Access | Times Cited: 1
H S Shreenidhi, Narayana Swamy Ramaiah
International Journal of Electronics and Communication Engineering (2023) Vol. 10, Iss. 7, pp. 63-73
Open Access | Times Cited: 1
