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Book synopsis

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.

Book details

Book category Books in German Naturwissenschaften, Medizin, Informatik, Technik Informatik, EDV Informatik, EDV - Sonstiges

• Full title: Machine Learning Based Power Utilization Prediction
• Author: T. Durga Devi, G. Phani Madhuri
• Language: English
• Binding: Paperback
• Number of pages: 64
• EAN: 9786206164500
• ISBN: 6206164500
• ID: 43628697
• Publisher: LAP LAMBERT Academic Publishing
• Weight: 113 g
• Dimensions: 220 × 150 × 4 mm
• Date of publishing: 16. May 2023

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