Results 101 to 110 of about 114,884 (315)

Research on Collaborative Estimation of SOC and SOH for Lithium‐Ion Batteries Based on BS‐SRCKF‐DEKF

Energy Science &Engineering, EarlyView.
This paper presents a novel method for jointly estimating the state of charge (SOC) and state of health (SOH) in lithium‐ion battery systems. A second‐order hysteresis RC model and the BS‐SRCKF‐DEKF algorithm are used to improve estimation accuracy. Simulation and experimental results verify the method′s robustness and superior performance.
Meijin Lin, Haokun Lin, Jiehua Tan
wiley   +1 more source

Geometria i mapes

, 2023
Aquest treball està enfocat a entendre millor els mapes, una eina que ens trobem en el nostre dia a dia i poques vegades ens parem a entendre com i perquè funcionen. En particular, ens focalitzarem en els mapes que busquen representar la Terra. Usant els coneixements de Geometria Diferencial veurem com aquesta ha ajudat al desenvolupament de la ...
openaire   +1 more source

Time‐Domain Geoelectrical Modeling and Experimental Validation of Ground Potential Rise in Multilayer Soil Structures during Fault Events

Energy Science &Engineering, EarlyView.
This study develops a time‐domain geoelectrical model of ground potential rise (GPR) in multilayer soil that couples electromagnetic field theory with nonlinear fault arc resistance. Finite‐element simulations calibrated against scaled fault‐injection experiments reproduce measured GPR and step/touch voltages within 4.7% error, revealing that steady ...
Wulfran Fendzi Mbasso, Ambe Harrison, Idriss Dagal, Mohamed Metwally Mahmoud, Kenfack Saatong Tsobze, Pradeep Jangir, Muhammad Suhail Shaikh, Aseel Smerat   +7 more
wiley   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

MAPE-K Interfaces for Formal Modeling of Real-Time Self-Adaptive Multi-Agent Systems

IEEE Access, 2016
Formal modeling of multi-agent systems is an active area of research. The use of precise and unambiguous notation of formal methods is used to accurately describe and reason about the system under consideration at the design time.
Awais Qasim, Syed Asad Raza Kazmi
semanticscholar   +1 more source

Forecasting New Employment Using Nonrepresentative Online Job Advertisements With an Application to the Italian and EU Labor Market

Journal of Forecasting, EarlyView.
ABSTRACT Using online job advertisement data improves the timeliness and granularity depth of analysis in the labor market in domains not covered by official data. Specifically, its variation over time may be used as an anticipator of official employment variations.
Pietro Giorgio Lovaglio, Mario Mezzanzanica   +1 more
wiley   +1 more source

ANN prediction model of final construction cost at an early stage

Journal of Asian Architecture and Building Engineering
Previous studies developed models to predict final construction cost (FCC) values based on many inputs, which makes them difficult to use. However, relying on models with relatively few inputs will reduce the accuracy of the prediction results.
Khalid S. Al-Gahtani, Abdullah M. Alsugair, Naif M. Alsanabani, Abdulmajeed A. Alabduljabbar, Abdulmohsen S. Almohsen   +4 more
doaj   +1 more source

Estimating Operating Speed on Highways using Multiple Linear Regression and Artificial Neural Network Technique

Transactions on Transport Sciences
The speed variation along the successive highway sections is one of the most important factors in assessing geometric design consistency. Therefore, it is necessary to predict operating speed on important highway geometric features involving major safety
Kiran Kumar Tottadi, Arpan Mehar
doaj   +1 more source

Diskretne kaotične mape

, 2023
The paper "Discrete Chaotic Maps" serves as an introduction to the study of discrete chaotic maps and the relevant background necessary for their understanding. The aim of the paper was to explore chaos theory and dynamical systems, as well as to examine the applications of these maps in various areas such as generating pseudo random numbers ...
openaire   +1 more source

Using Deep Learning Conditional Value‐at‐Risk Based Utility Function in Cryptocurrency Portfolio Optimisation

International Journal of Finance &Economics, EarlyView.
ABSTRACT One of the critical risks associated with cryptocurrency assets is the so‐called downside risk, or tail risk. Conditional Value‐at‐Risk (CVaR) is a measure of tail risks that is not normally considered in the construction of a cryptocurrency portfolio.
Xinran Huang, Linzhi Tan, Haozhe Su, Jeremy Eng‐Tuck Cheah   +3 more
wiley   +1 more source