Analysis of Energy Production and Consumption Prediction Approaches in Smart Grids

  • Atimad El Khaouat
  • Laila Benhlima
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 37)


The importance of energy prediction is to ensure Load balance, storage management, relevant integration of renewable resources… There are many scientific research efforts in this field based on different statistical methods and machine learning algorithms. In this paper we analyze four of prediction process in energy prediction in Smart Grids (SGs), especially energy consumption, production or load. This analysis is based on specific criteria and underlies advantages and limitations of each one.


Smart Grids Energy prediction Consumption Load forecasting Analysis Online/offline learning Supervised/unsupervised learning Algorithms Prediction models 


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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Mohammadia School of EngineersMohammed 5 UniversityRabatMorocco

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