A recent article reports that an Oracle patent on a fast sorting method has expired, allowing open source databases to use it freely. Mark Callaghan, the inventor behind the sorting algorithm, shows ...

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

With the increasing penetration of wind power in electrical power systems, its impact on small signal stability has become increasingly significant. The volatility and uncertainty introduced by wind ...

E.l.f. Beauty launched a social-first campaign, “The Sound of Kindness,” in partnership with skin care company Beekman 1802 and research partner Kindness.org, per details shared with Marketing Dive.

Abstract: The large-scale integration of renewable energy introduces significant uncertainty challenges to the optimal dispatch of power systems. To fully account for the impact of the randomness in ...

Scientists in the United States have come up with a physics-based algorithm that could one day make it possible for nuclear microreactors to adjust the power output based on need. The study was funded ...

A research team from Chiba University has developed a machine learning-based method to design Wireless Power Transfer systems that keep their output stable regardless of load changes. This property is ...

An innovative approach to the optimization of process parameters and equipment sizes of the recirculating cooling water system for various types of thermal power plants (TPPs) with natural draft wet ...

ABSTRACT: This paper proposes a unique approach to load forecasting using a fast convergent artificial neural network (ANN) and is driven by the critical need for power system planning. The Mazoon ...

Scientists in India said they have developed a scalable next-generation device that produces green hydrogen by splitting water molecules using only solar energy. A group at the Bengaluru-based Centre ...

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