MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202541133847 A) filed by Sudhakar G; Jeyasri R; Sree Prathiksha. S; Madhavan K; Pavithra. B; and Maheshwari. S, Coimbatore, Tamil Nadu, on Dec. 30, 2025, for 'new-gen scenario synthesis for wind power : integrating gdfm with vaes and diffusion models.'
Inventor(s) include Sudhakar G; Jeyasri R; Sree Prathiksha. S; Madhavan K; Pavithra. B; and Maheshwari. S.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "The growing penetration of renewable energy requires reliable modeling of wind power variability to support operational planning and system adequacy studies. Existing methods, such as the integration of the Generalized Dynamic Factor Model (GDFM) with Generative Adversarial Networks (GANs), have improved the synthesis of spatially and temporally correlated wind power scenarios. However, challenges remain in ensuring scalability, capturing diverse geographic patterns, and enhancing training stability. Building on these limitations, this work proposes an advanced framework that extends the GDFM-GAN model by incorporating next-generation generative techniques such as variational autoencoders (VAEs) and diffusion models. The proposed system aims to preserve frequency-domain correlations while offering better stability and coverage of extreme events. Additionally, the framework is designed to handle heterogeneous datasets from onshore and offshore wind farms across varying scales and regions. This approach ensures the generation of realistic long-term scenarios with improved flexibility, making it suitable for future renewable energy planning, grid reliability assessment, and decision-making under uncertainty."
Disclaimer: Curated by HT Syndication.
