%T Residential precinct demand forecasting using optimised solar generation and battery storage
%A Steven Percy
%A Mohammad Aldeen
%A Adam Berry

%I IEEE PES Asia-Pacific Power and Energy Engineering Conference, 15-18 November 2015, Brisbane, Australia
%D 2016

%K Energy storage, %K Solar energy, %K Electricity, %K Machine learning, %K Energy demand, %K Economic forecasting


%R 10.1109/APPEEC.2015.7381039
%U https://apo.org.au/node/233306

%X In the future there will be an increased uptake of solar and battery systems in the residential sector, driven by falling battery costs and increasing electricity tariffs. The increased uptake means we need new methods to forecast electricity demand when considering these technologies.
This paper has achieved this goal using a two stage model.
%9 Conference paper