Time series models (Grey-Markov, Grey Model with rolling mechanism and singular spectrum analysis) to forecast energy consumption in India
By Ujjwal Kumar, V. K. Jain. 2010
373 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Electrical and Electronic Engineering, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/4cb8eb09a2c15ef260c88dc40346f71ef56ba88a
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In Economics and Econometrics
In Electrical and Electronic Engineering
- Hsin-Chia Fu
- Kafait Ullah
- Cheng-Lung Tseng
- M. Imran
- H. Pao
- Zafar Ali Khan
- Mohammed A. Alghassab
- Aneeque A. Mir
In Management Science and Operations Research
- Hsin-Chia Fu
- Kafait Ullah
- Cheng-Lung Tseng
- M. Imran
- H. Pao
- Zafar Ali Khan
- Mohammed A. Alghassab
- Aneeque A. Mir
Citations in the corpus
- Forecasting of CO2 emissions, energy consumption and economic growth in China using an improved grey model (2012, background): “[41] for China, and Kumar and Jain [42] for India.”
- A Review of Electricity Demand Forecasting in Low and Middle Income Countries: The Demand Determinants and Horizons (2020, background): “LTLF India Grey-Markov, Grey Not discussed 2009 2005–2015 [91]”
- Comparison of Forecasting Energy Consumption in Shandong, China Using the ARIMA Model, GM Model, and ARIMA-GM Model (2017, background): “The basic idea of the grey theory is: to combine the known time series according to specific rules to form either a dynamic or non-dynamic combination, and then to solve the law of future development according to specific criterion and solution [26,51,52], which adopt the essential part of the Grey ”