Real-time anomaly detection for very short-term load forecasting

Title
Real-time anomaly detection for very short-term load forecasting
Authors
Keywords
Real-time anomaly detection, Very short-term load forecasting, Multiple linear regression, Data cleansing
Journal
Publisher
Springer Nature
Online
2018-01-07
DOI
10.1007/s40565-017-0351-7

Ask authors/readers for more resources

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation