Keywords and phrases: seasonal ARIMA model, auto-regressive integrated moving average.
Received: December 6, 2021; Accepted: January 19, 2022; Published: March 24, 2022
How to cite this article: Rodrigo Amper Salimaco, Jr., Modeling the electricity consumption in the province of Davao Oriental with auto-regressive integrated moving average, Advances and Applications in Statistics 75 (2022), 23-37. http://dx.doi.org/10.17654/0972361722025
This Open Access Article is Licensed under Creative Commons Attribution 4.0 International License
References:
[1] L. Campbell, The World is Experiencing Mass Trauma from COVID-19: What You Can Do, 2020. https://bit.ly/3x0jnwB [2] I. Santiago, A. Moreno-Munoz, P. Quintero-Jiménez, F. Garcia-Torres and M. J. Gonzalez-Redondo, Electricity demand during pandemic times: The case of the COVID-19 in Spain, Energy Policy 148 (2021), 111964. Retrieved from https://bit.ly/2V1kM8Q [3] N. Mercado, Power consumption down, surplus up to 25% amid pandemic, says DOE, 2020. Retrieved from https://bit.ly/3inrxK8 [4] M. L. V. Ravago and J. A. Roumasset, COVID-19, Coal, and the Energy Transition in the Philippines (No. 202009), Department of Economics, Ateneo de Manila University, 2020. [5] A. Araullo, 3 Davao Oriental towns wiped out by Pablo, 2012. Retrieved from https://goo.gl/FmeDG7 [6] E. Erdogdu, Electricity demand analysis using cointegration and ARIMA modelling: A case study of Turkey, Energy Policy 35(2) (2007), 1129-1146. Retrieved from https://goo.gl/zxKRyb [7] S. L. Lai, M. Liu, K. C. Kuo and R. Chang, Energy consumption forecasting in Hong Kong using ARIMA and artificial neural networks models, Applied Mechanics and Materials 672 (2014), 2085-2097. Retrieved from https://goo.gl/V6xiJN [8] A. Abdoos, M. Hemmati and A. A. Abdoos, Short term load forecasting using a hybrid intelligent method, Knowledge-Based Systems 76 (2015), 139-147. Retrieved from https://goo.gl/tRQomv [9] F. M. Tseng, G. H. Tzeng, H. C. Yu and B. J. Yuan, Fuzzy ARIMA model for forecasting the foreign exchange market, Fuzzy Sets and Systems 118(1) (2001), 9-19. Retrieved from https://goo.gl/9ycyhm [10] R. J. Hyndman, Box-Jenkins Modelling, 2001. Retrieved from https://bit.ly/3GgVHsB [11] R. Adhikari and R. K. Agrawal, An introductory study on time series modeling and forecasting, 2013. Retrieved from https://goo.gl/ZrDAWm [12] G. E. P. Box, G. M. Jenkins and G. C. Reinsel, Time Series Analysis: Forecasting and Control, 5th ed., Englewood Cliffs, NJ: Prentice Hall, 1994. Retrieved from https://goo.gl/WFkj1x [13] B. D. Fulcher, Feature-based time-series analysis, Feature Engineering for Machine Learning and Data Analytics, CRC Press, 2018, pp. 87-116. Retrieved from https://goo.gl/qhsre5 [14] M. Meng, W. Shang and D. Niu, Monthly electric energy consumption forecasting using multiwindow moving average and hybrid growth models, Journal of Applied Mathematics (2014), 1-7. https://bit.ly/3op3pei [15] R. Yayar, M. Hekim, V. Yilmaz and F. Bakirci, A comparison of ANFIS and ARIMA techniques in the forecasting of electric energy consumption of Tokat province in Turkey, Journal of Economic and Social Studies (JECOSS) 1(1) (2011), 87-112. https://bit.ly/3opOVdV [16] X. Zheng, C. Wei, P. Qin, J. Guo, Y. Yu, F. Song and Z. Chen, Characteristics of residential energy consumption in China: Findings from a household survey, Energy Policy 75 (2014), 126-135. https://bit.ly/3dlNxTp [17] S. Kwon, S. H. Cho, R. K. Roberts, T. Kim and T. E. Yu, Effects of changes in electricity price on electricity demand and resulting effects on manufacturing output No. 1375-2016-109483 (2015), 1-39. https://bit.ly/3xXX2Si [19] A. Camara, W. Feixing and L. Xiuqin, Energy consumption forecasting using seasonal ARIMA with artificial neural networks models, International Journal of Business and Management 11(5) (2016), 231. https://bit.ly/3ptzaSK [20] A. C. Paul, E. C. Myers and K. L. Palmer, A partial adjustment model of US electricity demand by region, season, and sector, 2009. https://bit.ly/3ptzNM6 [21] C. Q. Francisco, Total power tapped to build 5-MW diesel plant in Davao Oriental, 2017. Retrieved from https://bit.ly/3rDX68L
|