Application of Machine Learning Algorithm to Forecast Load and Development of a Battery Control Algorithm to Optimize PV System Performance in Phoenix, Arizona

Application of Machine Learning Algorithm to Forecast Load and Development of a Battery Control Algorithm to Optimize PV System Performance in Phoenix, Arizona

abstract: The students of Arizona State University, under the mentorship of Dr George Karady, have been collaborating with Salt River Project (SRP), a major power utility in the state of Arizona, trying to study and optimize a battery-supported grid-tied rooftop Photovoltaic (PV) system, sold by a c...

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Bibliographic Details
Other Authors: Hariharan, Aashiek (Author)
Format: Dissertation
Language:English
Published: 2018
Subjects:
Electrical engineering
Battery Control Algorithm
Distributed Generation
Load Forecasting
Machine Learning
PV Forecasting
Rooftop PV Systems
Online Access:http://hdl.handle.net/2286/R.I.51560

Internet

http://hdl.handle.net/2286/R.I.51560

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