Cooling a Warming Planet:  What Homes in Texas and New York Can Teach Us About Cooling Demand Around the Globe

By Cavan Merski, data analyst, Pecan Street – We were interested to see how our homes in these two regions compared now and what will happen in the future as climate change brings warmer summers to most of the country, so we performed a series of regressions to explore differences in the cooling load between homes in Austin, TX homes and Ithaca, NY.

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Delaware Voluntary Participation Agreement

Following is a participant agreement for Pecan Street’s current volunteer recruitment in Delaware. By completing and submitting this form, you are agreeing to the terms outlined below. Please read this agreement carefully. It explains all of the roles and responsibilities for Pecan Street Inc. and the research participants. After reading the agreement, you will be […]

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A Year After Winter Storm Uri, a Look at Smart Solutions to Strengthen the Grid

By Cavan Merski, data analyst, Pecan Street Inc. – Microgrids get name-dropped a lot. And for good reason. The promise of a smarter, more resilient, and cleaner grid is enough to make any energy geek swoon. But given all the buzz, there’s a short supply of guidance on how we can deploy microgrid technology at scale. Pecan Street’s new analysis puts our energy data expertise to work to answer part of the microgrid riddle – how can big data enable widespread microgrid deployment?

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Financing Will Drive Adoption of Regenerative Ag

By Jill Harlow – Data will drive the financial resources that emerge to help farmers and ranchers transition to regenerative agriculture. Our new white paper, Financing the Transition to Regenerative Agriculture and Beyond, examines how traditional agricultural funding resources can adapt to support innovative agricultural practices and inventories key players that are leading the way.

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Next Level Energy Research Requires Mountains of Data

By Steve Mock – Beyond any one analysis, there’s a bigger reason why we collect so much data. Emerging tools like artificial intelligence and machine learning have the potential to revolutionize how we generate, move, store and use critical resources like electricity and water. But to reach their potential, these tools require mountains of data.

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