A Gradient Boosting Classifier to Predict Electric Power Consumption by Nuclear Power Plant-Reference-Cited by-同舟云学术

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A Gradient Boosting Classifier to Predict Electric Power Consumption by Nuclear Power Plant

Published:2023-03-08 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC)
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Author:

Khan Mushfiqur Rashid¹,Fuad Farhan¹,Ibrahim Md. Adnan¹

Affiliation:

1. Institute of Nuclear Power Engineering BUET,Dhaka,Bangladesh

Funder

Moscow Engineering Physics Institute (MEPhI)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10099037/10098906/10099208.pdf?arnumber=10099208

Reference20 articles.

1. Water Level Prediction through Hybrid SARIMA and ANN Models Based on Time Series Analysis: Red Hills Reservoir Case Study

2. Prediction Model and Influencing Factors of CO2 Micro/Nanobubble Release Based on ARIMA-BPNN;wang;Agric,2022

3. Predicting at-Risk Students at Different Percentages of Course Length for Early Intervention Using Machine Learning Models

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SVM-Plus: An Improved Machine Learning Classifier to Predict Loss-of-Coolant Accidents in Pressurized Water Reactor;2024 3rd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE);2024-04-25

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