This inventor holds 1 USPTO granted patent. Top assignee: Accenture Global Solutions Limited. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: Sandeep Narendra Vaity: Inventor in Energy Forecasting and Sustainable Management.
Introduction
Sandeep Narendra Vaity is an inventor based in Mumbai, India. His work includes a patent application focused on applying machine learning to energy demand forecasting and sustainable energy management. The available information identifies him as a man and lists Accenture Global Solutions Limited as his company.
Latest Patents
Vaity is associated with one patent: “Energy Demand Forecasting and Sustainable Energy Management Using Machine Learning.” The disclosed systems and methods use artificial intelligence and machine learning to forecast energy demand for an organization’s facilities and generate energy plans.
The approach may estimate facility occupancy and combine that information with historical energy-demand data. Trained machine-learning models can forecast demand and help select energy resources that meet it while prioritizing specified constraints. The resulting plan may describe the selected resources’ cost, energy type, and environmental impact, with the aim of increasing renewable-energy use. The system may also recommend actions to reduce negative environmental impacts.
Career Highlights
Vaity’s listed patent work addresses the intersection of machine learning, energy planning, and sustainability. His company is Accenture Global Solutions Limited.
Collaborations
The provided information lists Pallavi S. Gawade and Bhushan Gurmukhdas Jagyasi as Vaity’s coworkers. It does not specify their roles in the patent or describe particular collaborations.
Conclusion
Sandeep Narendra Vaity’s disclosed invention applies machine learning to energy forecasting and resource planning, with a focus on supporting more sustainable energy use.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
