H
Hongcai Zhang
Researcher at University of Macau
Publications - 91
Citations - 2769
Hongcai Zhang is an academic researcher from University of Macau. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 20, co-authored 56 publications receiving 1408 citations. Previous affiliations of Hongcai Zhang include Tsinghua University & University of California, Berkeley.
Papers
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PEV Fast-Charging Station Siting and Sizing on Coupled Transportation and Power Networks
TL;DR: A mixed-integer linear programming model is formulated for PEV fast-charging station planning considering both transportation and electrical constraints based on CFRLM, which can be solved by deterministic branch-and-bound methods.
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A review on renewable energy and electricity requirement forecasting models for smart grid and buildings
TL;DR: A critical and systematic review of renewable energy and electricity prediction models applied as an energy planning tool and three major states-of-art forecasting classifications: machine learning algorithms; ensemble-based approaches; iii) and artificial neural networks are analyzed.
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Evaluation of Achievable Vehicle-to-Grid Capacity Using Aggregate PEV Model
TL;DR: In this article, an aggregate model of a V2G fleet that employs aggregated parameters to represent energy and power constraints of the entire fleet was proposed to reduce the difficulty of forecasting.
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Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities
Tanveer Ahmad,Tanveer Ahmad,Dongdong Zhang,Chao Huang,Chao Huang,Hongcai Zhang,Ning-Yi Dai,Yonghua Song,Yonghua Song,Huanxin Chen +9 more
TL;DR: How AI techniques outperform traditional models in controllability, big data handling, cyberattack prevention, smart grid, IoT, robotics, energy efficiency optimization, predictive maintenance control, and computational efficiency is explored.
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An Integrated Planning Framework for Different Types of PEV Charging Facilities in Urban Area
TL;DR: An integrated planning framework for PEVs in an urban area from the perspective of a social planner to minimize the social costs of the whole PEV charging system is proposed and the effectiveness is verified via a case study of a real-urban area in China.