David Irwin

TL;DR: This paper analyzes the load on distribution transformers across a small city and studies the potential impact of EVs as their penetration levels increase, and evaluates the benefits of using smart grid technologies, such as smart EV charging and energy storage, to mitigate the effects of increasing the EV-based load.

TL;DR: A detailed analysis of a state-of-the-art 15MW green multi-tenant data center that incorporates many of the technological advances used in commercial data centers is presented, revealing the benefits of optimizations, and insights into how the various effectiveness metrics change with the seasons and increasing capacity usage are provided.

TL;DR: WattHome is presented, a data-driven approach to identify the least energy efficient buildings from a large population of buildings in a city or a region that uses Bayesian inference to capture the stochasticity in the daily energy usage by estimating the parameter distribution of a building.

TL;DR: It is shown that prediction strategies that use weather forecasts are more accurate than prediction strategies based on the past, and are capable of improving the performance of a variety of systems.

TL;DR: In this article, the authors argue that cloud platforms should virtualize the energy system by exposing visibility into, and software-defined control of, it to applications, enabling them to define their own abstractions for managing energy and carbon emissions based on their own requirements.