Event Category: NM SMART Grid Center Webinar

Title: Visible Light Communication and Applications in Smart Grids

Presenter: Dr. Sihua Shao, Assistant Professor, Assistant Professor, NMT, Electrical Engineering

Title: Leveraging Energy Storage Resources to Improve Combined Cycle Power Plant Operational Efficiency

Presenter: Dr. Fengyu Wang, Assistant Professor of Electrical and Computer Engineering at NMSU

Presenter: Dustin Allen, NM EPSCoR

Python is a high-level programming language that is leveraged in a wide range of disciplines and fields. This webinar training introduces Python basics and will also familiarize those in attendance with its powerful capabilities for data analysis and visualization. It will be taught using live coding and the audience is encouraged to follow along on their systems. All the required files are included in the resources section below.

Read more about the SMART Grid Webinar Series

100% Carbon-Free Energy System: Can We Still Keep the Lights On?

Presenter: Dr. Leo Yazhou Jiang is an Assistant Professor in the ECE Department at Clarkson University

Library Carpentry is made by people working in library- and information-related roles to help you:

Presenter: George "Rusty" Nail, Graduate Research Assistant at NMSU

Things we’ll cover in this webinar:

Presenter: Dr. Hamed Nademi, Assistant Professor, NMSU Klipsch School of Electrical and Computer Engineering

Software Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills. This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.

NM SMART Grid Center all hands meeting will be held on May 6, 2021 from 8:00am to 4:15pm.

Registration is now open.

Abstract: This talk will present theoretical and algorithmic results on exploiting symmetry to reduce the computational complexity large-scale control and optimization problems. First, we will show how symmetry can be used to reduce the memory complexity of explicit solutions of optimization problems. Second, we will show how symmetry can be used to reduce the memory and computational complexity of an alternating direction method of multipliers (ADMM) optimization algorithm.