--- title: "Hourly charts" slug: "hourly-charts" updated: 2026-10-08T13:14:21Z published: 2026-10-08T13:14:21Z canonical: "kb.solargis.com/hourly-charts" --- > ## Documentation Index > Fetch the complete documentation index at: https://kb.solargis.com/llms.txt > Use this file to discover all available pages before exploring further. # Hourly charts **In this document** You'll learn how to read the hourly charts in the project's Analysis section: hourly statistics by month with their percentile ranges, the colour-coded hourly statistics data tables, and the monthly histogram of hourly values, with guidance on how to use each one. The **hourly charts** of the Solagis Evaluate’s [Analysis section](/v1/docs/data-analysis) show how your project's parameters behave across the hours of a day, month by month. They reveal daily peaks and off-peak periods, the spread between typical and extreme hours, and how consistent conditions are through the year. For the other chart groups and an introduction to the Analysis section, see [How to read the charts](/v1/docs/how-to-read-the-charts). ## Hourly statistics by month | | **Solar resources** | Climate | | --- | --- | --- | | **Chart included for** | GHI, DNI, D2G, GTI | TEMP, RH, TD, WBT, WS, WG, AP, PREC | The chart shows how the parameter's values are distributed across the hours of the day in the given month: - **p01–p99** (light grey band): the hourly range for 98% of days in the month - **p10–p90** (dark grey band): the hourly range for 80% of days in the month - **Average** (blue line): the mean hourly value in the month - **Median** (black line): the middle hourly value in the month, with half of the days above it and half below Hover over the chart to see the exact percentile ranges, average, and median for a given hour in the popup. ### ![](https://cdn.document360.io/ae2d502f-6c0d-4865-a68e-43ad8da61149/Images/Documentation/image-AESIC651.png?sv=2026-02-06&spr=https&st=2026-10-16T20%3A00%3A51Z&se=2026-10-16T21%3A00%3A51Z&sr=c&sp=r&sig=7b9kzOe4xLK6cv3Ny2H0jzdIGnPwAQ%2BtqPdGN3074%2BI%3D) | | **Unit** | | --- | --- | | **X-axis** | Hour of the day | | **Y-axis** | Respective parameter values | ### How to use it This chart provides detailed insights into the variability and reliability of solar energy production on an hourly basis. These charts benefit PV system design by allowing you to: - **Identify peak and off-peak periods**: Understand typical and extreme ranges of solar radiation and energy production throughout the day, helping to optimize system performance and align with energy demand patterns. - **Plan for energy storage and backup**: Assess the need for and size of energy storage solutions and backup power systems to maintain a stable energy supply during periods of low solar output. ## Hourly statistics data tables The hourly data visualization tables are created in the same way as the monthly and yearly summary tables. They give you a **color-coded view** of the monthly parameter **summary/average per hour.** 1. The **average** (Climate) or **summary** (solar resource) at the given hour in the month. 2. **LTA** (Climate) or **summary** (solar resource) per month. ![](https://cdn.document360.io/ae2d502f-6c0d-4865-a68e-43ad8da61149/Images/Documentation/image-1783683862232.png?sv=2026-02-06&spr=https&st=2026-10-16T20%3A00%3A51Z&se=2026-10-16T21%3A00%3A51Z&sr=c&sp=r&sig=7b9kzOe4xLK6cv3Ny2H0jzdIGnPwAQ%2BtqPdGN3074%2BI%3D) | | **Unit** | | --- | --- | | **X-axis (bottom)** | Summary (solar resource) or LTA (Climate) | | **X-axis** **(top)** | Month | | **Y-axis** | Hour of the day | ### How to use it The **temperature heatmap** table can help you identify times when overheating can occur and limits can be exceeded or spot the coolest periods during the day in the given month. You can use this information to perform maximum demand tests or introduce relevant system protection. ## Monthly histogram of hourly values | | **Solar resources** | Climate | | --- | --- | --- | | **Chart included for** | GHI, DNI, D2G, GTI | TEMP, RH, TD, WBT, WS, WG, AP, PREC | The chart represents **histograms of hourly averages** of the given parameter with **percentiles** stated in the text. The **grey area** with the middle line depicts the **average** and **standard deviation**, and the black line shows the cumulative distribution function. This chart's availability depends on location and its dataset granularity. The values written inside the chart show the **percentiles.** ![](https://cdn.document360.io/ae2d502f-6c0d-4865-a68e-43ad8da61149/Images/Documentation/image-1783683873768.png?sv=2026-02-06&spr=https&st=2026-10-16T20%3A00%3A51Z&se=2026-10-16T21%3A00%3A51Z&sr=c&sp=r&sig=7b9kzOe4xLK6cv3Ny2H0jzdIGnPwAQ%2BtqPdGN3074%2BI%3D) | | **Unit** | | --- | --- | | **X-axis** | Respective parameter values | | **Y-axis** | Percentage of days | ### How to use it The x-axis of the chart indicates **how far values go** in every month, and they depict instant values, not averages. If, for example, values in a chart representing **July** in the **northern hemisphere** (summer month) are mostly in the **lower range**, it may indicate that it is often cloudy and that, despite summer, energy production is much lower than expected. If charts are almost **identical for all months**, it may indicate that energy production could be consistent throughout the whole year (for example, desert areas in Africa).