A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2013; you can also visit the original URL.
The file type is
2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems
We describe a decision-support tool that optimizes the energy services of residential end-users by scheduling the operation of available distributed energy resources. We discuss the application of the tool to a 'smart' home case study and the solution to the resulting highly-dimensional scheduling problem. We then use the optimal schedules formulated by the tool to determine the value of the forecasted information used when the schedules are created. This is achieved by computing the additionaldoi:10.1109/pmaps.2010.5528952 fatcat:v4us4j54szablc7zlx34ofczge