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Keda Pan, Changhong Xie, Chun Sing Lai, Dongxiao Wang and Loi Lei Lai
Considering that most of the photovoltaic (PV) data are behind-the-meter (BTM), there is a great challenge to implement effective demand response projects and make a precise customer baseline (CBL) prediction. To solve the problem, this paper proposes a ...
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Sofia Kusiak Meirelles,Marcelo Fernandes
Pág. 179 - 219
This paper aims to statistically compare the performance of two hedging strategies for Brazilian fixed income portfolios, with discrete rebalancing. The first hedging strategy matches duration, and hence it considers only small parallel changes in the yi...
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Diego A. Martin
Pág. 173 - 202
While there is a broad consensus in the literature that there is a positive correlation between Internet usage and labor income in the richest countries, this link has not been proven in the developing world. This paper uses propensity score matching tec...
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Tr?n Hu?nh B?o Châu DOI: 10.26459/jed.v126i5B.4109
Pág. 17?31
Abstract:This study estimates the impact value of the VietGAP program when applied to vegetable production on the health of farmers in Thua Thien Hue province. By employing the propensity score matching (PSM) method, our findings show that the VietGAP pr...
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Musa Salihu Ewugi,Mohd Zaini Abd Karim,Roslan Abdul-Hakim
Pág. 1106 - 113
The objective of the study is to examine the impact of Shiroro Hydro Electricity Dam (SHED) on the happiness of the host community. In order to achieve this aim, Propensity Score Matching techniques is employed, which involved two research points ? Shiro...
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