David Irwin

TL;DR: Solar-TK, a data-driven toolkit for solar performance modeling and forecasting that is simple, extensible, and publicly accessible, is presented and plans to release as open source to enable research that requires realistic solar models and forecasts, and to serve as a baseline for comparing new solar modeling and forecasts techniques.

TL;DR: An optimization framework for modeling the primary characteristics that dictate the lifetime cost of many prominent energy storage technologies is presented and it is shown that by employing hybrid storage technologies at multiple levels of the distribution hierarchy, utilities can reduce their daily operating costs due to distributing electricity by up to 12%.

TL;DR: This position paper presents an ongoing GENI project to connect high-bandwidth radar sensor networks with computational and storage resources in the cloud and uses this example to highlight the opportunities and challenges in designing end-to-end data-intensive cloud systems.

TL;DR: A DR-compatible storage system that uses staggered node blinking patterns combined with a balanced data layout and popularity-based replication to optimize I/O throughput, data availability, and energy-efficiency as power varies is proposed.

TL;DR: The results demonstrate that the system, called PowerPlay, enables efficient online tracking on low-power embedded platforms, scales to thousands of loads (across many buildings) on server platforms, and improves per-load accuracy by more than a factor of two compared to a state-of-the-art load disaggregation algorithm.