Lahti, Finland

Juho-Eemeli Veikkolainen

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Kempower Oyj. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Juho-Eemeli Veikkolainen. Retrieved from https://idiyas.com/inventor/juho-eemeli-veikkolainen

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Juho-Eemeli Veikkolainen and Electric Vehicle Charging-Time Forecasting.

Introduction

Juho-Eemeli Veikkolainen is an inventor associated with Lahti, Finland, and Kempower Oyj. His patent work includes a system and method for forecasting how long electric vehicles will take to charge.

Latest Patents

Veikkolainen is associated with 1 patent, titled “Forecasting Charging Time of Electric Vehicles.” The invention filters charging-event data, processes the remaining data into samples, and groups relevant samples into a cluster associated with a selected electric-vehicle cluster. It uses machine learning to train multiple forecasting models on one portion of the data, select the best-performing model using another portion, and test that model on a third portion. The selected model is then applied to a charging event involving an electric vehicle in the cluster.

Career Highlights

Veikkolainen’s listed company is Kempower Oyj, which works in the electric-vehicle charging field. His patent reflects an application of machine learning to charging data, with the aim of forecasting charging times.

Collaborations

Esko Heino is identified as Veikkolainen’s coworker. The provided information does not specify their particular projects or professional collaboration.

Conclusion

Juho-Eemeli Veikkolainen’s patent focuses on using filtered charging-event data and machine learning to forecast electric-vehicle charging times.

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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