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Title: Evaluation of A Data Analytic Based Anomaly Detection Method for Load Forecasting Data

Authors:
Publication Date:
Research Org.:
Brookhaven National Lab. (BNL), Upton, NY (United States)
Sponsoring Org.:
USDOE Office of Electricity Delivery and Energy Reliability (OE), Power Systems Engineering Research and Development (OE-10)
OSTI Identifier:
1501582
Report Number(s):
BNL-211415-2019-COPA
DOE Contract Number:  
SC0012704
Resource Type:
Conference
Resource Relation:
Conference: IEEE PES General Meeting: Re-Imagining the Electric Grid, Portland, OR, 8/5/2018 - 8/9/2018
Country of Publication:
United States
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION

Citation Formats

Yue, Meng. Evaluation of A Data Analytic Based Anomaly Detection Method for Load Forecasting Data. United States: N. p., 2018. Web. doi:10.1109/PESGM.2018.8586608.
Yue, Meng. Evaluation of A Data Analytic Based Anomaly Detection Method for Load Forecasting Data. United States. doi:10.1109/PESGM.2018.8586608.
Yue, Meng. Sun . "Evaluation of A Data Analytic Based Anomaly Detection Method for Load Forecasting Data". United States. doi:10.1109/PESGM.2018.8586608. https://www.osti.gov/servlets/purl/1501582.
@article{osti_1501582,
title = {Evaluation of A Data Analytic Based Anomaly Detection Method for Load Forecasting Data},
author = {Yue, Meng},
abstractNote = {},
doi = {10.1109/PESGM.2018.8586608},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {8}
}

Conference:
Other availability
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