Power Prediction in Combined Cycle Power Plant through ML and DL Regression Techniques-Reference-Cited by-同舟云学术

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Power Prediction in Combined Cycle Power Plant through ML and DL Regression Techniques

Published:2024-04-17 Issue: Volume:18 Page:58-62
ISSN:
Container-title:2024 International Conference on Cognitive Robotics and Intelligent Systems (ICC - ROBINS)
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Author:

Rao Saka Uma Maheswara¹,Kumar A V S Pavan²,Neelima S.³,Krishna Chinta Venkata Murali⁴,Lakshmanarao A.³

Affiliation:

1. Swarnandhra College of Engineering and Technology,Department of CSE,Narasapuram,A.P,India

2. GIET University,Department of CSE,Gunupur,India

3. Aditya Engineering College,Department of IT,Surampalem,India

4. NRI Institute of Technology,Department of CSE(Data Science),Pothavarappadu,A.P,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10533880/10533882/10533904.pdf?arnumber=10533904

Reference12 articles.

1. Predicting Power Generation from a Combined Cycle Power Plant Using Transformer Encoders with DNN

2. Prediction through Analysis of Immunization and HDI Factors using Machine Learning Regression Algorithms;Lakshmanarao;iJOE

3. Combined cycle gas turbine power output prediction and data mining with optimized data matching algorithm

4. Power Prediction of Combined Cycle Power Plant (CCPP) Using Machine Learning Algorithm-Based Paradigm

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