Automated Data Filtering Approach for ANN Modeling of Distributed Energy Systems: Exploring the Application of Machine Learning
To realize the distributed generation and to make the partnership between the dispatchable units and variable renewable resources work efficiently, accurate and flexible monitoring needs to be implemented. Due to digital transformation in the energy industry, a large amount of data is and will be ca...
Main Authors: | Homam Nikpey Somehsaraei, Susmita Ghosh, Sayantan Maity, Payel Pramanik, Sudipta De, Mohsen Assadi |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-07-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/13/14/3750 |
Similar Items
-
Decarbonization of the Iron and Steel Industry with Direct Reduction of Iron Ore with Green Hydrogen
by: Abhinav Bhaskar, et al.
Published: (2020-02-01) -
Can methane pyrolysis based hydrogen production lead to the decarbonisation of iron and steel industry?
by: Abhinav Bhaskar, et al.
Published: (2021-06-01) -
Improving Accuracy of the Kalman Filter Algorithm in Dynamic Conditions Using ANN-Based Learning Module
by: Israr Ullah, et al.
Published: (2019-01-01) -
Smart Home Automation Using Intelligent Electricity Dispatch
by: Muhammad Javed Iqbal, et al.
Published: (2021-01-01) -
A New Technique for Improving the Precision of Dual-Axis Tetrahedron-Based Sensor With Switching Between PID and ANN
by: Yuwaldi Away, et al.
Published: (2023-01-01)