2 Getting started

UConn EnergyStat is happy to share our data with Huskies and contribute to learning and research in related fields. On Request Data, you’ll find the data for a number of buildings on Storrs campus to conduct research, develop your own web or mobile applications, and design data visualizations.

All data are downloaded as a TSV file which can be opened using any spreadsheet application—e.g., Microsoft Excel or Google Spreadsheet. We serve data in TSV files as some building names contain commas, which can potentially tamper with CSV formatting.

3 Monthly Data

1. Choose MONTHLY DATA at the top. Select a service from ELECTRIC, CNG and NATURAL GAS. Once a service is selected, the list of buildings will show up in the BUILDING field.

2. START DATE and END DATE contain the available dates in YYYY-MM format. For obvious reasons, START DATE should not succeed END DATE, AND END DATE shouldn’t precede START DATE.

3. Clicking the BUILDING field will take you to a search bar on top of the list:

4. Typing in a building name will filter out the unmatched items and return a refined list:

5. Click on the DOWNLOAD button

4 High frequency data

1. Click on the HIGH FREQUENCY DATA tab. Select services from steam, chilled water and electric where multiple choice is available.

2. Click on START DATE and END DATE to input the time period you require. Please notice that some buildings and services include missing data within the chosen period.
   For example, we choose Feb 01, 2021 to Feb 10, 2021 from the bar.

3. Click on Choose your buildings button to choose the buidings you require. Multiple choice is also available here. For example, we choose STORRS HALL and KOONS HALL from the list.

4. Click DOWNLOAD button to get a tsv file including data you require.

5 Special request

When the data available above is insufficient, we process requests on a case-by-case basis. The time to receive data depends on the complexity of the request and availability of our staff. Please give us as much advanced notice as possible if you are working with a deadline. Please only use this form if you are in need of institutional data about the University of Connecticut.

• Utility Operations & Energy Management Facility Operations & Building Services 25 LeDoyt Road, Unit 3252 Storrs, CT 06269-3252
• 860-486-0242
• brian.mckeon@uconn.edu

6 Data disclaimer

Any data provided by Facilities Operations to UConn faculty, staff or students and to outside contractors and consultants have the following caveats:

• Data presented have NOT, for the most part, been verified with primary sources nor analyzed beyond the requirements of the primary user.
• Concerted efforts to collect these data from reliable sources have been made, yet the data should not be uncritically accepted as fact but, rather, used only to guide your own research, verification, and analysis.
• This data has been subject to quality assurance processes. Meaning checking for errors at each stage of data collection and processing or verifying data entry and making corrections if necessary.
• The data collection met the objectives of our department as the primary use. The data correctly represents what it was designed to measure, monitor or report.
• There are known gaps in the data, identified in caveats attached to the dataset or data source as applicable.
• There have been adjustments, changes or other factors impacting the validity of the data such as averaging, weighting, rounding, de-identification of data to fill in data gaps where identified.
• If errors are identified, please notify Facilities Operations of the errors so we may improve the data set.

Daeyoung Lim Dept. of Statistics, University of Connecticut

Tuhin Sheikh Dept. of Statistics, University of Connecticut

Haiwei Zhou Dept. of Statistics, University of Connecticut

Ming-Hui Chen Dept. of Statistics, University of Connecticut