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Compressed sensing and P1P in electrical consumption prediction
David Pinos-Mendez,
Juan Inga
Research Group in Telecommunications and Telematics (GITEL)
Research output
:
Contribution to conference
›
Paper
2
Scopus citations
Overview
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Dive into the research topics of 'Compressed sensing and P1P in electrical consumption prediction'. Together they form a unique fingerprint.
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Keyphrases
Consumption Prediction
100%
Mean Absolute Percentage Error
66%
Forecast Error
33%
Measurement Vector
33%
Data Error
33%
Response Prediction
33%
Electrical Energy Measurement
33%
Compression Ratio
33%
Prediction Process
33%
Data Quantity
33%
Reconstruction Algorithm
33%
Engineering
Mean Square Error
66%
Compression Ratio
33%
Measurement Vector
33%
Forecast Error
33%