Data mining for classification of power quality problems using WEKA and the effect of attributes on classification accuracy-Reference-Cited by-同舟云学术

Data mining for classification of power quality problems using WEKA and the effect of attributes on classification accuracy

Published:2018-10-03 Issue:1 Volume:3 Page:
ISSN:2367-2617
Container-title:Protection and Control of Modern Power Systems
language:en
Short-container-title:Prot Control Mod Power Syst

Author:

Asha Kiranmai S.,Jaya Laxmi A.

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Safety, Risk, Reliability and Quality

Link

http://link.springer.com/content/pdf/10.1186/s41601-018-0103-3.pdf

Reference39 articles.

1. Bhattacharyya, S., & Cobben, S. (2011). Consequences of poor power quality – An overview. Croatia: InTech.

2. Khalid, S., & Dwivedi, B. (2011). Power quality issues, problems, standards & their effects in industry with corrective means. International Journal of Advances in Engineering & Technology, 1(2), 1–11.

3. Pandit, N., & Chakrasali, R. L. (2017). Power quality issues in Indian power distribution utilities and feasible solutions. International Journal of Scientific & Technology Research, 6(5), 23–25.

4. Sharmila, M., Sundarabalan, C. K., & Selvi, K. (2017). Power quality disturbances classification using data mining technique. International Journal of Research in Science & Engineering, 3(3), 77–90.

5. Asha Kiranmai, S., & Jaya Laxmi, A. (2014). Detailed classification of various categories of power quality problems. Hyderabad: National Conference on Power Distribution, DSD-CPRI.

Cited by 64 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. Data Mining, Weka Decision Trees;Orclever Proceedings of Research and Development;2023-12-31

2. In silico screening of chalcone derivatives as promising EGFR-TK inhibitors for the clinical treatment of cancer;3 Biotech;2023-12-19

3. Data mining predictive algorithms for estimating soil water content;Soft Computing;2023-09-21

4. Performance comparison machine learning algorithms in diabetes disease prediction;European Mechanical Science;2023-09-20

5. COVID-19 Cough Classification Models Based on Machine Learning: A Comparative Analysis;2023 6th International Conference on Engineering Technology and its Applications (IICETA);2023-07-15