Results 71 to 80 of about 42,893 (257)

Electrolyte Design Strategies for High‐Energy‐Density Li/Na/K‐Metal Batteries Toward Grid‐Scale Energy Storage: From Liquid to Solid

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This review summarizes key parameters including cathode loading and electrolyte consumption, clarifies the practical application scope of alkali metal batteries, and research progress on advanced electrolytes for grid‐scale energy storage systems. The growing demand for grid‐scale battery energy storage systems (BESSs) has prompted researchers to turn ...
Hui Shao, Zhiwei Ni, Jinkui Feng
wiley   +1 more source

The Improvement of Position Accuracy Using Inverted DGPS [PDF]

open access: yesJournal of Astronomy and Space Sciences, 2001
IDGPS (Inverted Differential Global Positioning System) is one of techniques improving the accuracy of GPS positioning and is mostly used for tracking an automatic vehicle.
Sang-Hyuk Lee   +3 more
doaj  

Integration of biological data resources using image object keying. [PDF]

open access: yes, 2003
This paper proposes a novel concept of ‘image object keying'. The work builds on earlier research in this area and shows how the 3D structure of a protein can be retrieved interactively from a gel electrophoresis protein spot.
Khan, Nawaz   +2 more
core   +1 more source

AI‐driven circular economy optimization in waste management: A review of current evidence

open access: yesEnvironmental Progress &Sustainable Energy, EarlyView.
Abstract The integration of artificial intelligence (AI) and machine learning (ML) in waste management has the potential to significantly advance circular economy objectives by enhancing efficiency, reducing waste, and optimizing resource recovery. However, realising these benefits depends on addressing significant technical, economic, and systemic ...
David Bamidele Olawade   +3 more
wiley   +1 more source

Optimised Internet of Thing framework based hybrid meta‐heuristic algorithms for E‐healthcare monitoring

open access: yesIET Networks, EarlyView., 2022
Abstract Everything can be connected in the Internet of Things (IoTs) technology that enables efficient communication between connected objects. IoTs industry‐based meta‐heuristic and mining algorithms, which are considered an important field of Artificial Intelligence will be used to construct a healthcare application in this study for lowering costs,
Muhaned Al‐Hashimi   +4 more
wiley   +1 more source

Assessment of Voltage Unbalance and Power Losses in Distribution Network Integrated With PVs and EV Charging Stations

open access: yesEnergy Science &Engineering, EarlyView.
ABSTRACT Unequal load distribution in three‐phase power distribution networks leads to voltage unbalance and decreased network efficiency. Integration of photovoltaics (PVs) and electric vehicle charging stations (EVCSs) into such networks is a challenging task as their penetration affects the power quality of the system.
Maaz Ahmad   +4 more
wiley   +1 more source

Using EMS Dispatch to Trigger STEMI Alerts Decreases Door-to-Balloon Times

open access: yesWestern Journal of Emergency Medicine, 2015
Introduction: We sought to determine the potential reduction in door-to-balloon time (DTB) by allowing paramedics to perform prehospital ST-Elevation Myocardial Infarction (STEMI) notification using brief communications via emergency medical services ...
Stowens, Justin C.   +2 more
doaj   +1 more source

High‐Fidelity Simulation‐Driven Control Framework for Robust Grid Integration of Renewable Energy Systems

open access: yesEnergy Science &Engineering, EarlyView.
This work proposes a high‐fidelity, simulation‐driven control framework for robust grid integration of hybrid PV–wind systems using a modular, hierarchical multi‐loop architecture with adaptive decision logic. The framework coordinates power, DC‐link voltage, and grid currents under fast load and generation changes, enabling safe exploration of extreme
Wulfran Fendzi Mbasso   +5 more
wiley   +1 more source

Using a desktop grid to support simulation modelling [PDF]

open access: yes, 2006
Simulation is characterized by the need to run multiple sets of computationally intensive experiments. We argue that Grid computing can reduce the overall execution time of such experiments by tapping into the typically underutilized network of ...
Mustafee, N, Taylor, S J E
core   +1 more source

Performance Monitoring of Photovoltaic Modules Using Machine‐Learning‐Based Solutions: A Survey of Current Trends

open access: yesEnergy Science &Engineering, EarlyView.
The graphical abstract presents the concept of applying machine‐learning algorithms to assess the performance of photovoltaic modules. Data from solar panels are fed to surrogates of intelligent models, to assess the following performance metrics: identifying faults, quantifying energy production and trend degradation over time. The combination of data
Nangamso Nathaniel Nyangiwe   +3 more
wiley   +1 more source

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