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Kang Ma

Researcher at University of Bath

Publications -  46
Citations -  588

Kang Ma is an academic researcher from University of Bath. The author has contributed to research in topics: Medicine & Smart grid. The author has an hindex of 10, co-authored 39 publications receiving 298 citations. Previous affiliations of Kang Ma include Southwest University & Macquarie University.

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Chance-Constrained Optimization for Multienergy Hub Systems in a Smart City

TL;DR: This paper solves the optimal energy flow of adjacent energy hubs to minimize the energy costs by utilizing the flexibility of energy resources in a smart city with uncertain renewable generation.
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Two-Stage Optimal Scheduling of Electric Vehicle Charging Based on Transactive Control

TL;DR: A two-stage optimal charging scheme based on transactive control is proposed for the aggregator to manage day-ahead electricity procurement and real-time electric vehicles (EV) charging management in order to minimize its total operating cost.
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Online teaching self-efficacy during COVID-19: Changes, its associated factors and moderators.

TL;DR: In this paper, the authors adopted a mixed-method design to examine online teaching self-efficacy during COVID-19, its associated factors and moderators, and concluded that teachers' online TSE for technology application increased among Chinese teachers during the school lockdown, with the major associated factors being lack of experience in online teaching, separation of teachers from students, school administrative process and unsatisfactory student academic performance.
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Quantification of Additional Asset Reinforcement Cost From 3-Phase Imbalance

TL;DR: In this paper, the authors proposed two novel costing models for main feeders and LV transformers respectively to assess the additional reinforcement cost arising from a 3-phase imbalance at the low voltage (LV) substation level.
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Classroom ready?: Pre-service teachers’ self-efficacy for their first professional experience placement

TL;DR: In this article, the authors investigated the level of teacher self-efficacy among 90 secondary preservice teachers before their first teaching practice and the factors which influenced their ratings, such as lacking teaching experience, previous informal teaching and other relevant experience, teacher education program, personal qualities and characteristics, and teacher-student relationship.