Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Eric's career includes extensive work in ...

The deal paves the way for TikTok to escape legal peril months after a U.S. ban. Social media giant TikTok struck an agreement to put its U.S. operations under the majority control of U.S. investors, ...

A new technique for efficient encoding of LDPC codes based on the known concept of Approximate Lower Triangulation (ALT) is introduced. The greedy permutation algorithm is presented to transform ...

Abstract: The efficient scheduling of multi-task jobs across multiprocessor systems has become increasingly critical with the rapid expansion of computational systems. This challenge, known as ...

Association rules mining is one of the most popular data mining models. Minimum-support is used in association rules mining algorithms, like Apriori, FP-growth, eclat, etc. One problem Apriori ...

Intermittent signals, lack of visibility, hairpin turns, and plunging gradients - on the serpentine mountain road of Tianmen Mountain in Zhangjiajie, Central China's Hunan Province, known locally as ...

Abstract: Simultaneous load forecasting across multiple entities (e.g., regions, buildings) is crucial for the efficient, reliable, and cost-effective operation of power systems. Accurate load ...