activity
20202022
most citedUsing Geographic Load Shifting to Reduce Carbon Emissions

3 citations · 3 across the 1 of their papers we have counts for

collaborators

5 papers

eess.SY20223 cited

Using Geographic Load Shifting to Reduce Carbon Emissions

Julia Lindberg, Bernard C. Lesieutre, Line A. Roald

An increasing focus on the electricity use and carbon emissions associated with computing has lead to pledges by major cloud computing companies to lower their carbon footprint. Da…

eess.SY2021

A Guide to Reducing Carbon Emissions through Data Center Geographical Load Shifting

Julia Lindberg, Yasmine Abdennadher, Jiaqi Chen +2

Recent computing needs have lead technology companies to develop large scale, highly optimized data centers. These data centers represent large loads on electric power networks whi…

math.AG2020

Exploiting Symmetry in the Power Flow Equations Using Monodromy

Julia Lindberg, Nigel Boston, Bernard C. Lesieutre

We propose solving the power flow equations using monodromy. We prove the variety under consideration decomposes into trivial and nontrivial subvarieties and that the nontrivial su…

eess.SY2020

The Environmental Potential of Hyper-Scale Data Centers: Using Locational Marginal CO Emissions to Guide Geographical Load Shifting

Julia Lindberg, Bernard C. Lesieutre, Line Roald

Increasing demand for computing has lead to the development of large-scale, highly optimized data centers, which represent large loads in the electric power network. Many major com…

math.AG2020

The Distribution of the Number of Real Solutions to the Power Flow Equations

Julia Lindberg, Alisha Zachariah, Nigel Boston +1

In this paper we study the distributions of the number of real solutions to the power flow equations over varying electrical parameters. We introduce a new monodromy and parameter…