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Jen-Cheng Wang

Researcher at National Taiwan University

Publications -  83
Citations -  594

Jen-Cheng Wang is an academic researcher from National Taiwan University. The author has contributed to research in topics: Photoluminescence & Heterojunction. The author has an hindex of 11, co-authored 78 publications receiving 473 citations. Previous affiliations of Jen-Cheng Wang include National Taipei University of Education & Chang Gung University.

Papers
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High-accuracy maximum power point estimation for photovoltaic arrays

TL;DR: Based on the p–n junction semiconductor theory, a prediction method for directly estimating the MPP for power tracking in PV arrays is developed with a new and simple approach with a low calculation burden that takes the resistance effect of the solar cells into consideration.
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Analysis of the junction temperature and thermal characteristics of photovoltaic modules under various operation conditions

TL;DR: In this paper, the junction temperature of the photovoltaic (PV) modules is directly determined based on the p-n junction semiconductor theory, and the proposed method is a new and simple approach with a low calculation burden.
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On application of a new hybrid maximum power point tracking (MPPT) based photovoltaic system to the closed plant factory

TL;DR: In this article, the authors integrated the previously proposed direct-prediction MPP method with a perturbation and observation (P&O) method to develop a new hybrid MPPT method, which is further utilized in the PV inverters in a PV system installed on the roof of a closed plant factory at National Taiwan University.
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A novel method for the determination of dynamic resistance for photovoltaic modules

TL;DR: In this paper, the authors proposed a method to directly determine the dynamic resistance of the PV modules from an irradiated current-voltage characteristic curve, using a combination of finite series-and shunt-connected resistance.
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An Interval Type-2 Fuzzy Logic System for Stock Index Forecasting Based on Fuzzy Time Series and a Fuzzy Logical Relationship Map

TL;DR: The proposed interval type-2 fuzzy logic system for stock index forecasting based on a fuzzy time series and a fuzzy logical relationship map (FLRM) is applied to data from the Taiwan Stock Exchange Capitalization Weighted Stock Index, the Dow Jones Industrial Average, and the National Association of Securities Dealers Automated Quotation.