Home Energy Management System for Coordinated PV and HVAC Controls Based on AI Forecasting

Authors

Huangjie Gong, University of KentuckyFollow
Rosemary E. Alden, University of KentuckyFollow
Dan M. Ionel, University of KentuckyFollow

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

Notes/Citation Information

A virtual poster presentation at the 2021 IEEE Power & Energy Society General Meeting.

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