Application of Machine Learning in Multi-Directional Model to Follow Solar Energy Using Photo Sensor Matrix
In this paper, we introduce a deep neural network (DNN) for forecasting the intra-day solar irradiance, photovoltaic PV plants, regardless of whether or not they have energy storage, can benefit from the work being done here. The proposed DNN utilises a number of different methodologies, two of whic...
Saved in:
Main Authors: | P. Dhanalakshmi, V. Venkatesh, P. S. Ranjit, N. Hemalatha, S. Divyapriya, R. Sandhiya, Sumit Kushwaha, Asmita Marathe, Mekete Asmare Huluka |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
|
Series: | International Journal of Photoenergy |
Online Access: | http://dx.doi.org/10.1155/2022/5756610 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Retracted: Application of Machine Learning in Multi-Directional Model to Follow Solar Energy Using Photo Sensor Matrix
by: International Journal of Photoenergy
Published: (2023-01-01) -
Recent Overview of Solar Photocatalysis and Solar Photo-Fenton Processes for Wastewater Treatment
by: A. G. Gutierrez-Mata, et al.
Published: (2017-01-01) -
Treatment of Effluent from a Factory of Paints Using Solar Photo-Fenton Process
by: Alam Gustavo Trovó, et al.
Published: (2013-01-01) -
Photo Editing
by: Ricky Telg
Published: (2010-08-01) -
Photo Editing
by: Ricky Telg
Published: (2010-08-01)