@inproceedings{ed6fedc6b56d41fbb9caccfd35b531ad,
title = "Solar Forecasting for Low Voltage Network Operations: Selected Case Studies in Australia",
abstract = "The utilization of solar forecasting data for the proactive management of low voltage (LV) networks is in its infancy. This paper presents three cases studies from Australian low voltage network operators (DNSPs - distribution network service providers) who have been given access to high resolution solar forecasting data for the purposes of evaluating the use of the technology for LV network management. The first of the selectes use cases focus on how solar forecasting data can aid decision making in day to day LV network operations. The second and third use case are closely related, and demonstrate how behind-the-meter solar forecasts through Solcast Grid Aggregations allows LV network operators to generate more accurate gross load profiles, so that the underlying true demand can be estimated at the zone substation level, by combining these data with SCADA measurements. Broadly, we conclude that these use cases demonstrate that there is significant value for LV network operators to utilize solar forecasting data in their network management and planning activities.",
author = "Engerer, \{Nicholas A.\} and Tidemann, \{Carl E.\} and Bright, \{Jamie M.\} and Scott Condie and Matthew Brooks and Sujeewa Vithana",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 46th IEEE Photovoltaic Specialists Conference, PVSC 2019 ; Conference date: 16-06-2019 Through 21-06-2019",
year = "2019",
month = jun,
doi = "10.1109/PVSC40753.2019.8980584",
language = "English",
series = "Conference Record of the IEEE Photovoltaic Specialists Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2106--2110",
booktitle = "2019 IEEE 46th Photovoltaic Specialists Conference, PVSC 2019",
address = "United States",
}