Extreme heat like the weather sweeping the eastern U.S. drives up energy demands for data centers, adding to their strain on ...

If you haven’t heard yet, California is offering a new way for people to protect their data — and we want your help tracking ...

This online course introduces participants to a semi-structural macroeconomic model often used as a core of FPAS (Forecasting and Policy Analysis Systems) at the central banks. It also shows how to ...

Use this approach if you need to load wave data, wind data, or both with individual function calls. Each call returns the data and its own metadata. Use this approach for convenience if you need both ...

Abstract: Accurate load forecasting is essential for ensuring the stability and efficiency of modern power systems, particularly in the context of increasing renewable energy integration. This study ...

With the increasing complexity of analytical data nowadays, great reliance on statistical and chemometric software is quite common for scientists. Powerful open-source software, such as Python, R, and ...

Abstract: RLDA (Road Load Data Acquisition) is a process of acquiring load response of subject vehicles against actual driving conditions on test tracks or actual roads. Vehicle response parameters ...

The simple config files are assumed to be ordinary text (.txt) files. The syntax of the files is designed to be very similar to the YAML syntax. configuration data can be stored as key/value pairs, ...