Title | ||
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SolarCast - an open web service for predicting solar power generation in smart homes: demo abstract |
Abstract | ||
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As the cost of photovoltaic (PV) solar panels decreases, their use among homeowners is becoming increasingly popular. However, due to the intermittent and uncontrollable nature of solar power generation, there is a need for tools that help consumers and utilities forecast future solar generation at individual homes throughout the grid. Thus, we present SolarCast, a open web service that provides homeowners (or utilities) access to customized predictions of their future solar generation based on their localized weather conditions. SolarCast learns a prediction model based on each site's own historical power generation and weather data. Importantly, SolarCast includes programmatic APIs for developers to incorporate its predictions as part of networked smart devices, e.g., for utility Demand Response programs. We view SolarCast as a useful consumer and utility tool for the growing number of distributed generation sites throughout the world. |
Year | DOI | Venue |
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2014 | 10.1145/2674061.2675020 | BuildSys@SenSys |
Keywords | Field | DocType |
design,real-time and embedded systems,web-based services,model predictive control,hvac,occupancy | Computer security,HVAC,Demand response,Solar power,Distributed generation,Architectural engineering,Engineering,Web service,Photovoltaic system,Electricity generation,Grid | Conference |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Srinivasan Iyengar | 1 | 19 | 4.89 |
Navin Sharma | 2 | 214 | 15.64 |
David E. Irwin | 3 | 899 | 98.12 |
Prashant J. Shenoy | 4 | 6386 | 521.30 |
Krithi Ramamritham | 5 | 4975 | 936.38 |