Name: Etornam Komla Ahorsu
Type: User
Company: Columbia University
Bio: Grad Student at Columbia University, Electrical Engineering. Passionate about machine learning and optimization theory and applications to societal problems.
Location: New York, USA
Etornam Komla Ahorsu's Projects
This paper utilizes MPC to successfully track the reference speed of a PMSM drive system.
An optimal FIR filter (wiener filter) was implemented to estimate three different input signals which were compared to the corresponding target signals to evaluate the performance of the estimation.
The aim of this research is to design and investigate power electronic control technique(s) that emulate synchronous machine characteristics in terms of providing power system stability.
A proposed gradient vector-based reduction algorithm for n-dimensional piecewise affine models for real-time motor control. This work is currently in the experimental phase.
Neutral network trained to perform multi-class classification without high level API like Keras
Electric power companies around the world utilize mathematical optimization to manage the flow of energy across their electrical grids. The objective is to determine which generators should be turned on or off at each hour within the 24-hour period to meet anticipated demand to minimize total cost.