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Abstract
Introduction
- This HEMS serves to transform HVAC system demand into a schedulable load bank or “dispatchable load” through controls based on day ahead forecasts
- Within this poster, a complete structure from data acquisition to day-ahead load scheduling is proposed
- For the purpose of study, measured data is used in place of forecasts to showcase best case results.
Document Type
Presentation
Publication Date
7-2021
Funding Information
This work was supported by the NSF, grant ECCF 1936494.
Repository Citation
Gong, Huangjie; Alden, Rosemary E.; and Ionel, Dan M., "Home Energy Management System for Coordinated PV and HVAC Controls Based on AI Forecasting" (2021). Power and Energy Institute of Kentucky Presentations. 4.
https://uknowledge.uky.edu/peik_present/4
Notes/Citation Information
A virtual poster presentation at the 2021 IEEE Power & Energy Society General Meeting.