By applying the precise deep-learning-based methods, the VPP operator can efficiently participate in energy markets, which guarantees the VPP profit margin. •.

Jan 16, 2023 ¡¤ The characteristics of the proposed method are considering renewable energy resources, electric vehicles, distributed generations, and energy ...

This article presents a 3-tier taxonomy of such functionalities. The top tier categories are optimization, forecasting and classification.

Mar 19, 2024 ¡¤ Advanced optimization techniques empower VPPs to operate efficiently, adapt to changing conditions, and contribute to a more sustainable energy future.

The numerical results confirmed that the BLSTM network outperformed the other methods and can forecast the stochastic parameters with only 3.56% and 3.53% ...

Aug 27, 2024 ¡¤ This review article explores the evolution of VPPs and their pivotal roles as major stakeholders within contemporary power systems.

This study examines the cost of optimal operating of the SVPP and the amount of produced pollution in four different scenarios in the presence of a demand ...

Jun 22, 2022 ¡¤ A supply-based VPP identifies the generation pattern of renewable energy power plants and manages controllable power plants on its platform.

Jun 7, 2024 ¡¤ This paper presents a tri-level hierarchical coordinated operational framework of VPP. Firstly, an Improved Pelican Optimization Algorithm (IPOA) is introduced.

Sep 14, 2024 ¡¤ A Profit Driven Optimal Scheduling of Virtual Power Plants for Peak Load Demand in Competitive Electricity Markets with Machine Learning based ...