Title
SolarCast - an open web service for predicting solar power generation in smart homes: demo abstract
Abstract
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
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 Iyengar1194.89
Navin Sharma221415.64
David E. Irwin389998.12
Prashant J. Shenoy46386521.30
Krithi Ramamritham54975936.38