Evoenergy - Battery Dispatch Algorithm (Customer Energy Innovation) [22178]

Project Member(s): Guerrero Orbe, J., Dwyer, S., Mendonca Severiano, B.

Funding or Partner Organisation: AcetewAGL Distribution (Evoenergy)
AcetewAGL Distribution (Evoenergy)

Start year: 2022

Summary: Evoenergy requires a network demand forecasting algorithm/model that can be called on by a battery controller to make predictions about network demand based on weather forecasts. This is an interim solution for Evoenergy and so the solution must be simple, cost effective and easy to deploy. Requirements/scope: • Forecast requirements: 24 hour ahead predictions of network demand, every 15 mins • Format: to be called on in a C# environment used by the battery controller • Data sources/parameters: forecast is to be based principally on weather forecasts but may be supported by additional data as required

FOR Codes: ENERGY, Electrical energy storage, Data engineering and data science

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.