Weather forecast based scheduling for demand response optimization in smart grids
| Authors | |
|---|---|
| Year of publication | 2017 |
| Type | Article in Proceedings |
| Conference | Smart City Symposium Prague (SCSP), 2017 |
| MU Faculty or unit | |
| Citation | |
| web | http://ieeexplore.ieee.org/abstract/document/7973867/ |
| Doi | http://dx.doi.org/10.1109/SCSP.2017.7973867 |
| Field | Informatics |
| Keywords | Smart grids; demand response; energy usage optimization; weather forecast |
| Description | we present an algorithm for scheduling water heaters' activity intervals with the purpose of balancing fluctuations of total power demand and uncontrollable photovoltaic production, and designed for real deployment. To do so, our method uses historical metering data and weather forecasts. We specify the environment the algorithm was designed for, describe predictions we did and present the steps of choosing optimal switching times. |
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