Short-Term Electric Load Forecasting With Sparse Coding Methods

Short-Term Electric Load Forecasting With Sparse Coding Methods

Short-term load forecasting is a key task for planning and stability of the current and future distribution grid, as it can significantly contribute to the management of energy market for ancillary services. In this paper we introduce the beneficial properties of applications of sparse representatio...

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Bibliographic Details
Main Authors: Nikolaos Giamarelos, Elias N. Zois, Myron Papadimitrakis, Marios Stogiannos, Nikolaos-Antonios I. Livanos, Alex Alexandridis
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Generative models
hierarchical dictionaries
load forecasting
power grid
sparse representation
Online Access:https://ieeexplore.ieee.org/document/9490196/

Internet

https://ieeexplore.ieee.org/document/9490196/

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