Deep learning-based electricity theft prediction in non-smart grid environments. [PDF]
Saqib SM+6 more
europepmc +1 more source
Abstract This study describes the process of developing a high‐impact, low‐cost, and low‐maintenance air ventilation system for anatomy facilities. It employed the strategic application of Value Engineering (VE), assuring that the air ventilation system meets contemporary threshold limit values (TLVs) for formaldehyde in the working zone of dissection ...
Jürgen Russ, Niels Hammer
wiley +1 more source
Stealthy data integrity attack identification in smart grid networks utilizing deep denoising autoencoder. [PDF]
Kousar A+4 more
europepmc +1 more source
The Value Chain of Sustainable Dual Carbon Sodium Ion Capacitors
Sodium‐ion capacitors (SICs) bridge the energy‐power gap between batteries and supercapacitors, offering sustainable and scalable energy storage solutions. This review provides a 360‐degree perspective on SIC technology, covering material choices, presodiation strategies, manufacturing challenges, applications and life cycle assessment to ensure ...
Roman Mysyk+23 more
wiley +1 more source
Optimal adaptive heuristic algorithm based energy optimization with flexible loads using demand response in smart grid. [PDF]
Alghamdi H+5 more
europepmc +1 more source
Smart Grids after the Third Liberalization Package: Current Developments and Future Challenges for Regulatory Policy in the Electricity Sector [PDF]
Mariusz Swora
openalex
Smart Grid Information Security (IS) Functional Requirement
Amy Poh Ai Ling, Masao Mukaidono
openalex +2 more sources
Human‐centered solution composed of a HoloLens app (client) and a Server app to predict resulting electrode properties in real time as the user manipulates the machinery (calendering in this case). This work focuses on a novel human‐centered digital assistant combining Mixed Reality (MR), Computer Vision, and Machine Learning regression to guide ...
Diego E. Galvez‐Aranda+2 more
wiley +1 more source
Security risk models against attacks in smart grid using big data and artificial intelligence. [PDF]
Yasin Ghadi Y+6 more
europepmc +1 more source
Neural electrodes for brain‐computer interface system: From rigid to soft
Here, we review the development trends of neural electrodes in BCI. This paper highlights the critical role of electrodes in BCI systems, analyzes the limitations of rigid electrodes, and introduces various flexible electrodes. Furthermore, we discuss application scenarios and prospects of BCI electrode technology, aiming to provide valuable references
Dan Yang+7 more
wiley +1 more source