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Interpretable Deep Reinforcement Learning with Imitative Expert Experience for Smart Charging of Electric Vehicles
Shuangqi Li, Alexis Pengfei Zhao, Chenghong Gu, Siqi Bu, Edward Chung, Zhongbei Tian, Jianwei Li, Shuang Cheng
Jul 10, 2024
Deep reinforcement learning (DRL) is a promising candidate for realizing online complex system optimal control because of its high computation efficiency. However, the interpretability and reliability problems limit its...
aging batteries battery aging Cost-Benefit Analysis electric vehicle Imitation learning reinforcement learning Renewable Energy Renewable energy sources smart charging Training vehicle grid integration Vehicle-to-grid /dk/atira/pure/subjectarea/asjc/2100/2102 name=Energy Engineering and Power Technology /dk/atira/pure/subjectarea/asjc/2200/2208 name=Electrical and Electronic Engineering /dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy name=SDG 7 - Affordable and Clean Energy
Factoring Electrochemical and Full-Lifecycle Aging Modes of Battery Participating in Energy and Transportation Systems
Shuangqi Li, Pengfei Zhao, Chenghong Gu, Yue Xiang, Siqi Bu, Edward Chung, Zhongbei Tian, Jianwei Li, Shuang Cheng
Sep 30, 2024
As the world transitions towards sustainable alternatives, transportation electrification emerges as a pivotal strategy within deep decarbonization initiatives undertaken by governments globally. Central to this shift is the...
Factoring Electrochemical and Full-Lifecycle Aging Modes of Battery Participating in Energy and Transportation Systems
Shuangqi Li, Pengfei Zhao, Chenghong Gu, Yue Xiang, Siqi Bu, Edward Chung, Zhongbei Tian, Jianwei Li, Shuang Cheng
Sep 30, 2024
As the world transitions towards sustainable alternatives, transportation electrification emerges as a pivotal strategy within deep decarbonization initiatives undertaken by governments globally. Central to this shift is the...
Interpretable Deep Reinforcement Learning with Imitative Expert Experience for Smart Charging of Electric Vehicles
Shuangqi Li, Alexis Pengfei Zhao, Chenghong Gu, Siqi Bu, Edward Chung, Zhongbei Tian, Jianwei Li, Shuang Cheng
Jul 10, 2024
Deep reinforcement learning (DRL) is a promising candidate for realizing online complex system optimal control because of its high computation efficiency. However, the interpretability and reliability problems limit its...
aging batteries battery aging Cost-Benefit Analysis electric vehicle Imitation learning reinforcement learning Renewable Energy Renewable energy sources smart charging Training vehicle grid integration Vehicle-to-grid /dk/atira/pure/subjectarea/asjc/2100/2102 name=Energy Engineering and Power Technology /dk/atira/pure/subjectarea/asjc/2200/2208 name=Electrical and Electronic Engineering /dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy name=SDG 7 - Affordable and Clean Energy
Amorphous metal-organic frameworks for drug delivery.
Claudia Orellana-Tavra, Emma F Baxter, Tian Tian, Thomas D Bennett, Nigel Kh Slater, Anthony K Cheetham, David Fairen-Jimenez
Jul 27, 2015
Folding pathway of an Ig domain is conserved on and off the ribosome.
Pengfei Tian, Annette Steward, Renuka Kudva, Ting Su, Patrick J Shilling, Adrian A Nickson, Jeffrey J Hollins, Roland Beckmann, Gunnar von Heijne, Jane Clarke, Robert B Best
Dec 05, 2018
Proteins that fold cotranslationally may do so in a restricted configurational space, due to the volume occupied by the ribosome. How does this environment, coupled with the close proximity of the ribosome, affect the folding...
Stable Maps in Higher Dimensions
We formulate a notion of stability for maps between polarised varieties which generalises Kontsevich's definition when the domain is a curve and Tian-Donaldson's definition of K-stability when the ...
A sol-gel monolithic metal-organic framework with enhanced methane uptake.
Tian Tian, Zhixin Zeng, Diana Vulpe, Mirian E Casco, Giorgio Divitini, Paul A Midgley, Joaquin Silvestre-Albero, Jin-Chong Tan, Peyman Z Moghadam, David Fairen-Jimenez
Apr 13, 2018
A critical bottleneck for the use of natural gas as a transportation fuel has been the development of materials capable of storing it in a sufficiently compact form at ambient temperature. Here we report the synthesis of a...
Development of Novel Chemical Biology Tools for Probing Structure-Function Relationships in G Protein-Coupled Receptors
Tian He
Jan 01, 0001
G protein-coupled receptors (GPCRs) constitute a large family of transmembrane receptors that transduce extracellular signals into intracellular biochemical responses. Understanding with chemical precision how GPCRs function in...
Published by: Rockefeller University
Big data driven vehicle battery management method
The establishment of an accurate battery model is of great significance to improve the reliability of electric vehicles (EVs). However, the battery is a complex electrochemical system with hardly observable and simulatable...
Battery energy storage big data Cyber-physical battery management system Deep learning electric vehicles /dk/atira/pure/subjectarea/asjc/2100/2105 name=Renewable Energy, Sustainability and the Environment /dk/atira/pure/subjectarea/asjc/2100/2102 name=Energy Engineering and Power Technology /dk/atira/pure/subjectarea/asjc/2200/2208 name=Electrical and Electronic Engineering /dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy name=SDG 7 - Affordable and Clean Energy
Chinese Officials Attend U.S.-China Trade Forum at Winthrop on Oct. 24
Winthrop University
Jan 01, 0001
Quick Facts
Attending the event are the Chinese Embassy Minister Counselor Tian Deyou, his delegation, U.S. Rep. Ralph Norman, (R-S.C.) and key business leaders from South Carolina. The forum lasts from 4:30 to 6:30 p.m. in the...
Published by: Winthrop University
Big data driven vehicle battery management method
The establishment of an accurate battery model is of great significance to improve the reliability of electric vehicles (EVs). However, the battery is a complex electrochemical system with hardly observable and simulatable...
Battery energy storage big data Cyber-physical battery management system Deep learning electric vehicles /dk/atira/pure/subjectarea/asjc/2100/2105 name=Renewable Energy, Sustainability and the Environment /dk/atira/pure/subjectarea/asjc/2100/2102 name=Energy Engineering and Power Technology /dk/atira/pure/subjectarea/asjc/2200/2208 name=Electrical and Electronic Engineering /dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy name=SDG 7 - Affordable and Clean Energy
Water-Energy Nexus Management for Power Systems
The water system management problem has been widely investigated. However, the interdependencies between water and energy systems are significant and the effective co-optimization is required considering strong interconnections....
Impact Analysis of Seismic Events On Integrated Electricity and Natural Gas Systems
Seismic events can cause devastating impacts on both overground and underground energy system infrastructure. This paper proposes a methodology to evaluate the impact of seismic events on the security of integrated electricity...
Optimal home energy management under hybrid photovoltaic-storage uncertainty
Energy storage and demand response (DR) resources, in combination with intermittent renewable generation, are expected to provide domestic customers with the ability to reducing their electricity consumption. This study...
A general approach for hysteresis-free, operationally stable metal halide perovskite field-effect transistors.
Satyaprasad P Senanayak, Mojtaba Abdi-Jalebi, Varun S Kamboj, Remington Carey, Ravichandran Shivanna, Tian Tian, Guillaume Schweicher, Junzhan Wang, Nadja Giesbrecht, Daniele Di Nuzzo, Harvey E Beere, Pablo Docampo, David A Ritchie, David Fairen-Jimenez, Richard H Friend, Henning Sirringhaus
May 18, 2020
Despite sustained research, application of lead halide perovskites in field-effect transistors (FETs) has substantial concerns in terms of operational instabilities and hysteresis effects which are linked to its ionic nature....
Published by: Science advances
A Cyber-Secured Operation for Water-Energy Nexus
The wide implementation of information and communication technologies (ICT) cause power system operations exposed to cyber-attacks. Meanwhile, the tendency of integrated multi energy vectors has worsened this issue with multiple...
distributionally robust optimization False data injection attacks Integrated energy system Mitigation strategy risk aversion Water-energy nexus /dk/atira/pure/subjectarea/asjc/2100/2102 name=Energy Engineering and Power Technology /dk/atira/pure/subjectarea/asjc/2200/2208 name=Electrical and Electronic Engineering /dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy name=SDG 7 - Affordable and Clean Energy
Alpha invariants and coercivity of the Mabuchi functional on Fano manifolds
Ruadhaí Dervan
Apr 20, 2016
We give a criterion for the coercivity of the Mabuchi functional for general Kàhler classes on Fano manifolds in terms of Tian's alpha invariant. This generalises a result of Tian in the anti-canonical case implying the...
A general approach for hysteresis-free, operationally stable metal halide perovskite field-effect transistors.
Satyaprasad P Senanayak, Mojtaba Abdi-Jalebi, Varun S Kamboj, Remington Carey, Ravichandran Shivanna, Tian Tian, Guillaume Schweicher, Junzhan Wang, Nadja Giesbrecht, Daniele Di Nuzzo, Harvey E Beere, Pablo Docampo, David A Ritchie, David Fairen-Jimenez, Richard H Friend, Henning Sirringhaus
Sep 14, 2020
Despite sustained research, application of lead halide perovskites in field-effect transistors (FETs) has substantial concerns in terms of operational instabilities and hysteresis effects which are linked to its ionic nature....
Adaptive energy management for hybrid power system considering fuel economy and battery longevity
The adoption of hybrid powertrain technology brings a bright prospective to improve the economy and environmental friendliness of traditional oil-fueled automotive and solve the range anxiety problem of battery electric...
Energy consumption Energy management Hierarchical optimization Plug-in hybrid electric vehicles Total life-cycle costs /dk/atira/pure/subjectarea/asjc/2100/2105 name=Renewable Energy, Sustainability and the Environment /dk/atira/pure/subjectarea/asjc/2100/2104 name=Nuclear Energy and Engineering /dk/atira/pure/subjectarea/asjc/2100/2103 name=Fuel Technology /dk/atira/pure/subjectarea/asjc/2100/2102 name=Energy Engineering and Power Technology /dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy name=SDG 7 - Affordable and Clean Energy
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