Weather forecasting is another aspect of modern life that artificial intelligence is transforming. Models like GraphCast, ...

Python has become the go-to language for building impactful data analytics projects, from cleaning messy datasets to creating compelling visualizations. With the right mix of libraries like Pandas, ...

Texas could see a rise in electricity demand over the next decade, according to a new preliminary forecast from the Electric Reliability Council of Texas. But officials say the numbers are likely ...

The Electric Reliability Council of Texas (ERCOT) released a preliminary long-term forecast projecting demand could reach 367,790 megawatts by 2032, more than four times the state’s all-time peak of ...

Abstract: This work presents a deep learning approach for short-term forecasting of active power in photovoltaic (PV) plants operating within islanded microgrids. Three forecasting schemes were ...

Total new-vehicle sales for March 2026, including retail and non-retail transactions, are projected to reach 1,372,877, a 11.4% decrease year-over-year, and a 11.9% increase from February 2026, ...

This project implements an end-to-end stock data pipeline that fetches stock data from an external API, processes and transforms it using Python, stores it in a MySQL database, exposes the data ...

Data work in 2026 asks for more than chart building. Professionals are expected to clean data, query databases, explain trends, and present findings clearly across business, finance, product, and ...

Google has signed agreements with five U.S. electric utilities in states from Arkansas to Minnesota to curtail its electricity use during periods of peak demand, the company said on March 19, in its ...

Abstract: Load forecasting is an essential factor in the stability of today’s power systems as well as their performance. In this work, the authors propose an automatic method for load forecasting ...