Results 221 to 230 of about 258,537 (280)

RLSuccSite: succinylation sites prediction based on reinforcement learning dynamic with balanced reward mechanism and three-peaks enhanced method for physicochemical property scores. [PDF]

J Cheminform
Zhu L, Zhang Q, Yang S.
europepmc   +1 more source

Probabilistic Multi‐Objective Energy Management System Model for an Energy Hub With PtG Technology for Cost Reduction and System Flexibility Improvement

Energy Science &Engineering, EarlyView.
Overview of the under‐study hub energy model showing the energy conversion and distribution among integrated sources and loads. ABSTRACT In this paper, a probabilistic bi‐objective energy management system (EMS) model is proposed for an energy hub (EH) equipped with renewable energy sources such as photovoltaic and wind turbine connected to the main ...
Mohammad Khoshabi, Mehrdad Ahmadi Kamarposhti, Mohsen Sedighi, Alireza Ghafouri   +3 more
wiley   +1 more source

Research on Thermal Runaway Multiphysics Coupling Simulation and Sensor Optimization Layout of Lithium Iron Phosphate Energy Storage Battery Packs

Energy Science &Engineering, EarlyView.
This study explores thermal runaway in lithium‐iron‐phosphate energy storage battery packs through multi‐physics coupling simulation. Thermal runaway evolves from battery cells (experiencing overcharge, bulging, safety valve opening, and gas venting) to battery clusters (a) and propagates within the battery pack (b). Simulation results indicate: stress
Dongliang Guo, Lei Sun, Rong Sun, Jun Jia, Peng Xiao, Hailong Ruan, Xin Jiang   +6 more
wiley   +1 more source

Exploring dynamic RESTful API implementation in IoT environments using Docker. [PDF]

Sci Rep
Mabotha E, Mabunda NE, Ali A, Khan B.
europepmc   +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

Deep learning for property prediction of natural fiber polymer composites. [PDF]

Sci Rep
Malashin IP, Martysyuk D, Nelyub V, Borodulin A, Gantimurov A, Tynchenko V.   +5 more
europepmc   +1 more source

A Clinical Prediction Score for Intradialytic Hypotension Among Hospitalized Patients with Acute Kidney Injury. [PDF]

Med Sci (Basel)
Suwanin P, Pattharanitima P, Tasanarong A, Anumas S.   +3 more
europepmc   +1 more source

A dataset for health insurance analysis: Integrating individual and area-based contextual variables. [PDF]

Sci Data
Lledó J, Espinosa P, Pérez V.
europepmc   +1 more source

Optimization of urban and rural electric bus scheduling considering mobile battery pack deployment. [PDF]

PLoS One
Chen S, Chang A, Cong Y.
europepmc   +1 more source

Modeling NRTIs and PIs class drug therapy on the dynamics of HIV infection with real patient data analysis and optimized control strategy. [PDF]

Sci Rep
Sardar P, Ranjit B, Biswas S, Boulaaras SM, Allali K, Pal B, Das KP.   +6 more
europepmc   +1 more source