Benchmark energy performance
Compare heating or cooling consumption without confusing weather changes with operational changes.
Free energy analysis tool
Degree days for energy professionals. In just 3 clicks.
Calculate heating and cooling degree days for cities and building locations around the world. Use them to compare energy consumption, normalize weather impact, and understand whether performance really changed.
Calculate now
Free degree day calculator
Choose your location, calculation method, base temperature, and date range. Enter your email to receive a detailed report.
Why degree days matter
If you do not use degree days, your energy analysis is blindfolded.
In colder winters, buildings require more heating. In hotter summers, they require more air conditioning. Degree days take that weather variability out of the equation and help you track, manage, and optimize consumption in a way that is fair across periods.
Normalize consumption
Weather-correct usage before reporting savings, forecasts, or year-on-year trends.
Prepare regression analysis
Use degree days as the weather variable for stronger baselines and M&V workflows.
Degree-Day-as-a-Service
From a free calculator to automated energy data workflows.
The calculator is the quick entry point. Energy-Data.io also supports weather normalization, regression analysis, API access, and the Ed workspace for auditable energy savings analysis.
Degree Day Calculator
Get heating and cooling degree days for worldwide locations without hunting for weather stations or copying formulas in Excel.
Energy Normalizer
Weather-normalize your energy usage so colder winters and warmer summers do not distort the performance story.
Regression analysis
Use degree days with real consumption data to test base temperatures, baseload, and model quality.
API access
Connect degree day data to Excel, databases, energy management software, or internal reporting systems.
FAQ
Degree day calculator questions
-
You can calculate heating degree days and cooling degree days for a location, base temperature, and date range. Use the result to compare energy use across different weather periods.
-
A common starting point is 15 C for heating and 22 C for cooling, but the best base temperature depends on the building. Regression analysis can help identify the balance point that fits your meter data.
-
Degree days are the weather input. To prove savings, compare them with your actual consumption and run a weather-normalized baseline or regression model.
-
Ed is designed to turn degree day lookups into auditable analysis workflows. Start a 7-day trial if you need downloads, regression, and M&V reporting from the same workspace.
Ed workspace
Calculate degree days. Then prove the savings.
Start a 7-day trial and run weather-normalized regression and M&V reporting on your own energy data.