IEEE

Advanced Time Series Load Forecasting for Distributed Energy Resources with IoT and Deep Learning

Abstract: To improve operational efficiency and reliability, new load forecasting methods are required for integrating Distributed Energy Resources (DERs) into power networks. This paper introduces a ...
Crypto BriefingOpinion

Zooko Wilcox-O’Hearn: Crypto risks mirroring the Linux movement’s decline, user experience is crucial for mass adoption, and funding has advanced zero-knowledge …

Funding from the crypto space has significantly advanced technologies like zero-knowledge proofs. Recent crypto developments ...
T&D World

AI-Enabled Technology Analyzes Utility Poles to Improve Reliability and Resiliency

Looq AI, a Distributech exhibitor, launched qPole to train AI models to understand utility poles in the same way as engineers ...

Cryogenic cooling material composed solely of abundant elements reaches 4K

Oshima College, the National Institute for Materials Science (NIMS) succeeded in developing a new regenerator material composed solely of abundant elements, such as copper, iron, and aluminum, that ...
IEEE

A High-Reliability and Low-Load Data Delivery Method in Distributed MQTT Broker Infrastructures

Abstract: The research and development of distributed MQTT broker infrastructures are currently progressing. In communication within a distributed MQTT broker infrastructure, improving reliability is ...