Analysis of classical and machine learning based short-term and mid-term load forecasting for smart grid

Analysis of classical and machine learning based short-term and mid-term load forecasting for smart grid

The evolution of advanced metering infrastructure (AMI) has increased the electricity consumption data in real-time manifolds. Using this massive data, the load forecasting methods have undergone numerous transformations. In this paper, short-term and mid-term load forecasting (STLF and MTLF) is pro...

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Bibliographic Details
Main Authors: Sneha Rai, Mala De
Format: Article
Language:English
Published: Taylor & Francis Group 2021-10-01
Series:International Journal of Sustainable Energy
Subjects:
smart metering
short-term and mid-term load forecasting
mlr
ann
optimised holt’s method
svr
Online Access:http://dx.doi.org/10.1080/14786451.2021.1873339

Internet

http://dx.doi.org/10.1080/14786451.2021.1873339

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