Classification and Analysis of Power System Faults in IEEE-14 Bus System using Machine learning Algorithm

2021 ◽  
Author(s):  
Praveen Kumar ◽  
Baidyanath Bag ◽  
Narendra D. Londhe ◽  
Anurag Tikariha
Keyword(s):  
Machine Learning ◽  
Power System ◽  
Learning Algorithm ◽  
Machine Learning Algorithm ◽  
Power System Faults ◽  
Bus System

scholarly journals Research on Power System Relay Protection Method Based on Machine Learning Algorithm

2019 ◽  
Vol 136 ◽  
pp. 02012
Author(s):  
Jingying Fang ◽  
Xiangyun Zhang
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Power System ◽  
Learning Algorithm ◽  
Relay Protection ◽  
Machine Learning Algorithm ◽  
Distributed Energy ◽  
High Permeability ◽  
Intelligence Algorithm ◽  
Artificial Intelligence Algorithm

With the development of power industry, there are gradually high permeability distributed energy systems. However, the existing relay protection is difficult to be effectively applied in this type of power system. To solve this problem, this paper applies machine learning algorithm to power system relay protection. Firstly, the structure of power system with high permeability and distributed energy is analyzed, and the challenges which current relay protection algorithms faced are introduced in detail. Then, the artificial intelligence algorithm is introduced, and the machine learning algorithm in artificial intelligence algorithm and its application in power system are mainly studied. Finally, the power system relay protection based on machine learning algorithm is deeply studied, and the specific implementation method and implementation flow are designed. The machine learning algorithm studied in this paper is helpful to the development of technology in the field of power system relay protection.

Machine Learning Algorithm to Predict Early Complications after Brain Tumor Surgery

2018 ◽  
Author(s):  
C.H.B. van Niftrik ◽  
F. van der Wouden ◽  
V. Staartjes ◽  
J. Fierstra ◽  
M. Stienen ◽  
...  
Keyword(s):  
Machine Learning ◽  
Brain Tumor ◽  
Learning Algorithm ◽  
Machine Learning Algorithm ◽  
Tumor Surgery ◽  
Early Complications ◽  
Brain Tumor Surgery

Feature extraction and prediction of Dengue Outbreaks

2020 ◽  
pp. 216-222
Author(s):  
Kunal Parikh ◽  
Tanvi Makadia ◽  
Harshil Patel
Keyword(s):  
Public Health ◽  
Machine Learning ◽  
Developing Countries ◽  
Feature Extraction ◽  
Predictive Analytics ◽  
Learning Algorithm ◽  
Machine Learning Algorithm ◽  
Health Concerns ◽  
The World ◽  
Dengue Outbreaks

Dengue is unquestionably one of the biggest health concerns in India and for many other developing countries. Unfortunately, many people have lost their lives because of it. Every year, approximately 390 million dengue infections occur around the world among which 500,000 people are seriously infected and 25,000 people have died annually. Many factors could cause dengue such as temperature, humidity, precipitation, inadequate public health, and many others. In this paper, we are proposing a method to perform predictive analytics on dengue’s dataset using KNN: a machine-learning algorithm. This analysis would help in the prediction of future cases and we could save the lives of many.

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