Load Forecasting for Temporary Power Installations : A Machine Learning Approach

Load Forecasting for Temporary Power Installations : A Machine Learning Approach

Sports events, festivals, construction sites, and film sites are examples of cases where power is required temporarily and often away from the power grid. Temporary Power Installations refer to systems set up for a limited amount of time with power typically generated on-site. Most load forecasting...

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Bibliographic Details
Main Author: Kotriwala, Arzam Muzaffar
Format: Others
Language:English
Published: KTH, Skolan för informations- och kommunikationsteknik (ICT) 2017
Subjects:
Load Forecasting
Load Classification
Temporary Power Installations
Machine Learning
Clustering
Time Series Forecasting
Lasten Casting
Ladda Klassificering
Tillfälliga Ström Installationer
Maskininlärning
klustring
Time Series prognoser
Computer and Information Sciences
Data- och informationsvetenskap
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-211554

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http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-211554

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