A Study and Performance Review of an On-Grid PV Solar Plant Using Artificial Intelligence
- Resource Type
- Conference
- Authors
- Garia, Prakash; Mittal, Amit; Singh, Akhilesh; Kumar, Nagendra; Oli, Sanjay
- Source
- 2023 International Conference on Power Energy, Environment & Intelligent Control (PEEIC) Power Energy, Environment & Intelligent Control (PEEIC), 2023 International Conference on. :484-489 Dec, 2023
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
General Topics for Engineers
Power, Energy and Industry Applications
Signal Processing and Analysis
Photovoltaic systems
Temperature distribution
Renewable energy sources
Reviews
Wind speed
Smart homes
Predictive models
Multi-layer Perceptron (MLP)
Artificial Neural Network (ANN)
photovoltaic (PV)
Artificial Intelligence (AI)
Fuzzy Logic Controller (FL)
- Language
Artificial intelligence (AI) tools are essential for PV solar plant performance and control modeling, analysis, and prediction. In order to address the issue of climate change, renewable energy sources—most notably solar photovoltaics (PV)—must advance quickly. The goal of this study is to examine how grid-connected photovoltaic (PV) systems negatively impact power networks and to assess how well artificial intelligence (AI) and conventional approaches handle power quality problems. This article's goal is to investigate how artificial intelligence (AI) methods affect a particular photovoltaic (PV) value chain. This study will examine both current AI technologies and possible AI uses in the future.