8 papers
LSTM-Based Forecasting and Analysis of EV Charging Demand in a Dense Urban Campus
Zak Ressler, Marcus Grijalva, Angelica Marie Ignacio +4
This paper presents a framework for processing EV charging load data in order to forecast future load predictions using a Recurrent Neural Network, specifically an LSTM. The framew…
Developing an aeroponic smart experimental greenhouse for controlling irrigation and plant disease detection using deep learning and IoT
Mohammadreza Narimani, Ali Hajiahmad, Ali Moghimi +3
Controlling environmental conditions and monitoring plant status in greenhouses is critical to promptly making appropriate management decisions aimed at promoting crop production.…
Demand Charge Management: Prototype Design and Testing
Christian Escarrega, Wyatt Lopez Coggins, Sammy Hamed +2
This paper presents the design, implementation, and validation of a smart, low-cost Energy Management System (EMS) and Demand Charge Management (DCM) prototype, developed as part o…
An Automated Framework for Assessing Electric Vehicle Charging Impacts on a Campus Distribution Grid
Mohammadreza Iranpour, Sammy Hamed, Mohammad Rasoul Narimani +3
This paper introduces a unified and automated framework designed to dynamically assess the impact of electric vehicle (EV) charging on distribution feeders and transformers at Cali…
Assessing EV Charging Impacts on Power Distribution Systems: A Unified Co-Simulation Framework
Mohammadreza Iranpour, Mohammad Rasoul Narimani, Xudong Jia
The growing adoption of electric vehicles (EVs) is expected to significantly increase demand on electric power distribution systems, many of which are already nearing capacity. To…
Scalable Global Optimization for AC-OPF via Quadratic Convex Relaxation and Branch-and-Bound
Mohammadreza Iranpour, Mohammad Rasoul Narimani
The Optimal Power Flow (OPF) problem is central to the reliable and efficient operation of power systems, yet its non-convex nature poses significant challenges for finding globall…