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.
CITATION STYLE
El Khaouat, A., & Benhlima, L. (2018). Analysis of Energy Production and Consumption Prediction Approaches in Smart Grids. In Lecture Notes in Networks and Systems (Vol. 37, pp. 634–642). Springer. https://doi.org/10.1007/978-3-319-74500-8_58
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