Machine Learning Based Power Utilization Prediction

ISBN-13: 9786206164500 / Angielski / Miękka / 64 str.

M.Aravind Kumar; T.Durga Devi; G.Phani Madhuri

Opis

This book summarizes the electricity load forecasting has gained substantial importance nowadays in the modern electrical power management systems with elements of smart greed technology. Power big data has the characteristics of a large number, high dimension and time series. At the same time, there are many forms of missing electric power data, some are missing dispersedly, and some are missing in succession. Therefore, combinations of prediction methods are receiving increasing attention. We performed exploratory data analysis, pre-processing, and train- test split before training the model. We used various metrics to test the advantages of the proposed model: mean absolute error, mean squared error, and root mean squared error.

O autorze

Dr. M. Aravind Kumar obtained B. Tech Degree in ECE, M Tech Degree in VLSI System Design from JNTUH, and Ph.D. from GITAM University, Visakhapatnam He is working at the WEST GODAVARI INSTITUTE OF SCIENCE AND ENGINEERING as a Principal. He has 15 years of teaching experience. He is a Life member of FIE, ISTE, TETE, SCIEI, UACEE, and IAENG.