Short-term load forecasting in smart meters with sliding window-based ARIMA algorithms

Abstract Forecasting of electricity consumption for residential and industrial customers is an important task providing intelligence to the smart grid. Accurate forecasting should allow a utility provider to plan the resources as well as to take control actions to balance the supply and the demand o...

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Bibliographic Details
Main Authors: Dima Alberg, Mark Last
Format: Article
Language:English
Published: World Scientific Publishing 2018-06-01
Series:Vietnam Journal of Computer Science
Subjects:
Online Access:http://link.springer.com/article/10.1007/s40595-018-0119-7