dlt supports Python 3.9 through Python 3.14. Note that some optional extras are not yet available for Python 3.14, so support for this version is considered experimental. dlt is an open-source Python ...

The amount of ERCOT‘s large load interconnection requests ballooned to more than 230 gigawatts this year, a massive increase from the 63 gigawatts reported in December 2024. The agency, which operates ...

U.S. Secretary of Energy Chris Wright has directed the Federal Energy Regulatory Commission (FERC) to initiate rulemaking procedures with a proposed rule meant to “rapidly accelerate” the ...

Abstract: Load data is an essential input for power system analysis and management. However, traditional load analysis methods do not fit well with emerging deep learning models that may require image ...

With 116 GW of large load capacity committed or under construction, U.S. utilities are planning for significant large load capacity growth — equivalent to 15.5% of current U.S. peak demand — according ...

Across the U.S., new AI-driven data centers are causing a significant increase in power demand. Carbon Direct projects that data center capacity in the U.S. will grow from roughly 25 GW in 2024 to 120 ...

Bloomberg Data License provides billions of data points daily spanning Reference, ESG, Pricing, Risk, Regulation, Fundamentals, Estimates, Historical data and more to help you streamline operations ...

Aggreko said it has launched a 500-kW liquid-cooled resistive load bank, purpose-built for liquid-to-liquid data center commissioning and testing for North American customers. The energy solutions ...

One of Jose's berths empty, no ships loading at Bajo Grande port Reduction of Chevron's fleet visible at terminals Bottleneck of tankers waiting might lead to delays Many customers puzzled by tariff ...

NTFS (default file system in Windows) keeps a record of the last access time for every file and folder (including game files) to track changes. However, this process also adds a bit of disk overhead, ...

Training AI models today isn’t just about designing better architectures—it’s also about managing data efficiently. Modern models require vast datasets and need those datasets delivered quickly to ...