3 days ago · This article presents a state-of-the-art review of machine learning (ML) methods and applications used in smart grids to predict and optimise energy management.
Dec 1, 2024 · We devised a model linking knowledge development to cycle time in strategic supply chains-chains whose members are strategically, operationally, and ...
Nov 28, 2024 · STRIDE starts by creating a model of the system to visualise how and what type of data is being transmitted between the different parts of the system. As an ...
Nov 29, 2024 · The Grid Connection Simulation Tool will act as a secure platform for plant owners and consultants to carry out wider system Electromagnetic Transient (EMT) ...
8 days ago · Microgrids are vital for modern utility operations, offering uninterrupted power supply during outages by isolating from the main grid. This is critical for ...
Dec 3, 2024 · It is argued that FMs learning from diverse grid data and topologies, which we call grid foundation models (GridFMs), could unlock transformative capabilities, ...
Missing: Knowledge
Dec 2, 2024 · The EarlyWarn project aims to predict faults in the power system by developing models that use big data, machine learning and domain knowledge to analyse ...
5 days ago · And so I dedicate my 70th article to discussing why IT jobs have become the “blue collar” jobs of the knowledge economy, and the distinct possibility that ...
Dec 17, 2024 · The multi-objective optimization model of operation rules for WSH hybrid system is constructed with the demands of flood control, power generation, ecology, ...
Nov 27, 2024 · Here is a rundown of eight microgrid projects operational and in focus this year. We're not saying these are the only or most important microgrid efforts.