Forecasting of virtual power plant generating and energy arbitrage economics in the electricity market using machine learning approach

Forecasting of virtual power plant generating and energy arbitrage economics in the electricity market using machine learning approach

Abstract Over time, the importance of virtual power plants (VPP) has markedly risen to seamlessly incorporate the sporadic nature of renewable energy sources into the existing smart grid framework. Simultaneously, there is a growing need for advanced forecasting methods to bolster the grid’s stabili...

Full description

Bibliographic Details
Main Authors: Tirunagaru V. Sarathkumar, Arup Kumar Goswami, Baseem Khan, Kamel A. Shoush, Sherif S. M. Ghoneim, Ramy N. R. Ghaly
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Virtual power plant
Renewable energy sources
Power forecasting
Monte-Carlo optimization
Energy storage
Online Access:https://doi.org/10.1038/s41598-025-87697-y

Internet

https://doi.org/10.1038/s41598-025-87697-y

Similar Items