24 citations · 26 across the 5 of their papers we have counts for
5 papers
Context-aware LLM-based AI Agents for Human-centered Energy Management Systems in Smart Buildings
Tianzhi He, Farrokh Jazizadeh
This study presents a conceptual framework and a prototype assessment for Large Language Model (LLM)-based Building Energy Management System (BEMS) AI agents to facilitate context-…
DEGAN: Time Series Anomaly Detection using Generative Adversarial Network Discriminators and Density Estimation
Yueyan Gu, Farrokh Jazizadeh
Developing efficient time series anomaly detection techniques is important to maintain service quality and provide early alarms. Generative neural network methods are one class of…
Using Statistical Models to Detect Occupancy in Buildings through Monitoring VOC, CO, and other Environmental Factors
Mahsa Pahlavikhah Varnosfaderani, Arsalan Heydarian, Farrokh Jazizadeh
Dynamic models of occupancy patterns have shown to be effective in optimizing building-systems operations. Previous research has relied on CO sensors and vision-based technique…
Two-stage building energy consumption clustering based on temporal and peak demand patterns
Milad Afzalan, Farrokh Jazizadeh, Hoda Eldardiry
Analyzing smart meter data to understand energy consumption patterns helps utilities and energy providers perform customized demand response operations. Existing energy consumption…
An Automated Spectral Clustering for Multi-scale Data
Milad Afzalan, Farrokh Jazizadeh
Spectral clustering algorithms typically require a priori selection of input parameters such as the number of clusters, a scaling parameter for the affinity measure, or ranges of t…