Tek Tjing Lie on Muck Rack

Tek Tjing Lie

As seen in: MDPI
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Articles

A Comprehensive Review of Hybrid State Estimation in Power Systems: Challenges, Opportunities and Prospects

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By Tek Tjing Lie, Samaneh Madanian, Sarah Marshall, Leila Kamyabi
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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End-to-End Top-Down Load Forecasting Model for Residential Consumers

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By Tek Tjing Lie, Weihua Li Verified, Shafiqur Rahman Tito, Barkha Parkash
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Design of Three Electric Vehicle Charging Tariff Systems to Improve Photovoltaic Self-Consumption

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By Tek Tjing Lie, Garazi Etxegarai, Haritza Camblong, Aitzol Ezeiza
| MDPI
1. Introduction The transport sector accounts for a large contribution to greenhouse gas emissions. In this context, electric vehicles (EVs) are emerging as one of the solutions that will help the European Union (EU) achieve its climate neutrality targets [1]. Thus, the EU has taken the measure of banning the sale of new petrol and diesel cars from 2035 [2,3]. In the first quarter of 2023, over 2.3 million EVs were sold worldwide, 25% more than in the same period the precedent year [4].
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