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RP1023: Forecasting and home energy analysis in residential energy management solutions

Project leader name: 
Associate Professor Alistair Sproul
Project status: 
Current
Project period: 
06/2015 to 06/2018

The project will develop algorithms for a customer-focussed software solution that interprets energy supply and demand at the system level (focussing on residential, but applicable also to small commercial). Interpreting the complex relationship between cost, supply and load along with accurate data and analytics will enable end users to proactively manage demand. The algorithms will take local load, weather and energy generation inputs and automate the analysis of the electricity production and consumption.

Publications related to this project

Peer Reviewed Research Publications
Electricity load forecasting is an important tool which can be utilized to enable effective control of commercial building electricity loads. Accurate forecasts of commercial building electricity loads can bring significant environmental and economic benefits by reducing electricity use and peak...
CRCLCL Project Posters
Student Poster – Participants Annual Forum 2017 - Bibek Joshi EVALUATION AND IMPROVEMENT OF AUSTRALIAN BUREAU OF METEOROLOGY’S SOLAR IRRADIANCE FORECASTS
CRCLCL Project Posters
Student Poster – Participants Annual Forum 2017 - Baran Yildiz FORECASTING & HOME ENERGY ANALYSIS IN RESIDENTIAL ENERGY MANAGEMENT SOLUTIONS
CRCLCL Project Posters
Student poster - Participants Annual Forum 2016 - Baran Yildiz Forecasting & home energy analysis in residential energy management solutions
CRCLCL Project Posters

Student Poster – Participants Annual Forum 2015 – Baran Yildiz

Residential and small commercial electricity load forecasting