Seabed-origin oil spills pose distinct challenges in marine pollution management due to their complex transport dynamics and ...

With the rapid development of smart grid (SG) technologies, massive system data has been generated for SG for grid operation status monitoring and fault warning, this massive integrated data has ...

Web scraping with Python : collecting data from the modern web by Mitchell, Ryan, author Publication date 2015 Topics Python (Computer program language), Data mining, Automatic data collection systems ...

Visualization is the representation of information in the form of various charts or images. Data visualization is used to identify useful patterns, to understand trends, and to find out outliers in ...

Sharper Shape, a global leader in utility asset intelligence and grid resiliency software, has been named the winner of the Data Visualization Solution of the Year award in the 2025 AI Breakthrough ...

Executive orders could target grid connection delays, offer federal land for data centers - sources White House to unveil AI Action Plan on July 23 Measures aimed at addressing massive power ...

And as tech companies build more data centers across the country, the International Energy Agency expects the centers will consume nearly half of all new electricity supply added to the grid in the ...

Soaring demand for electrical materials and equipment, such as transformers and switchgear, is pressuring the sector, which has already become notorious for the long lead times on project execution.

Near Real-Time MODIS/Terra L3 Global Daily 500m SIN Grid Snow Cover, Snow Albedo, and Snow Surface Properties, Version 1 ...

Both data center and power companies surveyed agree there are several challenges to powering AI infrastructure, along with unique concerns for each. Data center and power companies surveyed share the ...