2019
DOI: 10.3390/pr7020087
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Using the Optimization Algorithm to Evaluate the Energetic Industry: A Case Study in Thailand

Abstract: Thailand’s economy is developing rapidly, with energy being a significant factor in this development. This study uses a variety of models to assess the performance of Thailand’s energy industry in two different phases, the first being from 2013 to 2017 and the second from 2018 to 2020. The Malmquist model-one of data envelopment required input and output data that showed Thailand’s productivity index and the rate-of-change ratio, which is used to assess technical changes, change efficiency, and productivity ch… Show more

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Cited by 12 publications
(11 citation statements)
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“…The study also provides a beneficial reference for the hybrid Grey-based model in time series prediction. Besides, Wang et al [18] also applied the Grey model (1,1) to predict future data. Based on the Mean Absolute Percentage Error (MAPE), the prediction was highly accurate.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The study also provides a beneficial reference for the hybrid Grey-based model in time series prediction. Besides, Wang et al [18] also applied the Grey model (1,1) to predict future data. Based on the Mean Absolute Percentage Error (MAPE), the prediction was highly accurate.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Chandra and Neelankavil (2008) studied customer needs and proposed solutions to help businesses successfully develop new products in developing countries. Wang et al (2019) and colleagues used the DEA and GM (1,1) models to evaluate the effect of foreign direct investment on economic growth in developing countries.…”
Section: Literature Reviewmentioning
confidence: 99%
“…It is noticeable that DEA is a common approach to measuring the efficiency of universities. However, DEA can also be applied in different industries, such as ICT [26], banking [27,28], hospitals [29][30][31], supplier selection [32][33][34], and energy [35][36][37], and has many other applications [38][39][40][41][42][43].…”
Section: Literature Reviewmentioning
confidence: 99%