Rathmines, Ireland

Andrew Mckay

This inventor holds 1 USPTO granted patent. Top assignee: Eaton Intelligent Power Limited. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Andrew Mckay. Retrieved from https://idiyas.com/inventor/andrew-mckay-zvb2ivk4

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Andrew Mckay - Innovator in Renewable Energy Prediction

Introduction

Andrew Mckay is an inventor based in Rathmines, Ireland. He has made significant contributions to the field of renewable energy through his innovative ideas. His work focuses on predicting power generation for renewable energy installations, which is crucial for optimizing energy production and management.

Latest Patent Applications

Andrew Mckay's notable patent application is titled "PREDICTING POWER GENERATION OF A RENEWABLE ENERGY INSTALLATION." This invention provides a computer-implemented method for determining the predicted power generation of a renewable energy installation. The method includes receiving current power generation data indicative of a current power generation value for each of one or more neighboring renewable energy installations. It determines, based on the received current power generation data, a current data map indicative of current power generation values across an area that includes the renewable energy installation and the neighboring installations. The method also involves retrieving a previous data map indicative of power generation values across the area at a previous time. Based on the previous and current data maps, it determines a future data map indicative of power generation values across the area at a future time. Finally, it determines a predicted power generation value of the renewable energy installation at the future time based on the determined future data map.

Conclusion

Andrew Mckay's innovative approach to predicting power generation in renewable energy installations showcases his commitment to advancing sustainable energy solutions. His work has the potential to significantly impact the efficiency and effectiveness of renewable energy systems.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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