Time series decomposition is significant for understanding the consumption, production, and pricing in the energy sector analysis. This paper presents the comparative analyses of three important decomposition techniques: the Empirical Mode Decomposition (EMD), Variational Mode Decomposition (VMD), and Seasonal-Trend decomposition using the Loess (STL). The methodology, advantages, limitations, and applications of these techniques are described to help users selecting the most appropriate method.