A Framework to Predict Variability Characteristics in Building Load Profiles-Reference-Cited by-同舟云学术

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A Framework to Predict Variability Characteristics in Building Load Profiles

Published:2023 Issue: Volume:11 Page:8633-8643
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Moayedi Sam¹,Parker Andrew²^ORCID,James Kevin¹,Cheng Xiaoyue³^ORCID,Hempel Michael⁴^ORCID,Sharif Hamid⁴,Alahmad Mahmoud A.¹^ORCID

Affiliation:

1. Durham School of Architectural Engineering and Construction, University of Nebraska–Lincoln, Scott Campus, Omaha, NE, USA

2. National Renewable Energy Laboratory, Golden, CO, USA

3. Department of Mathematics, University of Nebraska Omaha, Omaha, NE, USA

4. Electrical and Computer Engineering, University of Nebraska–Lincoln, Scott Campus, Omaha, NE, USA

Funder

National Renewable Energy Laboratory, University of Nebraska–Lincoln Layman Award

University of Nebraska at Omaha Office of Research and Creative Activity

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10024966.pdf?arnumber=10024966

Reference26 articles.

1. AMI Data Quality and Collection Method Considerations for Improving the Accuracy of Distribution Models

2. Enhanced load modeling—Leveraging expanded monitoring and metering;peppanen,2019

3. Impact of load allocation and high penetration PV modeling on QSTS-based curtailment studies;azzolini;Proc Power Energy Soc Gen Meet (PESGM),2021

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