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Research Article

ELD analysis under tropical climate using wavelet and regression approaches for power management: Indonesia case study

, &
Pages 197-210 | Received 19 Sep 2022, Accepted 15 Aug 2023, Published online: 30 Aug 2023

References

  • Aguiar-Conraria, L., and M. J. Soares (July 12, 2011). The Continuous Wavelet Transform: A Primer. Accessed May 28, 2022. http://www3.eeg.uminho.pt/economia/nipe/docs/2011/NIPE_WP_16_2011.pdf.
  • Akil, Y. S., and H. Miyauchi. 2013. “Seasonal Regression Models for Electricity Consumption Characteristics Analysis.” Engineering 5 (1): 108–114. https://doi.org/10.4236/eng.2013.51b020.
  • Akil, Y. S., Syafaruddin, T. Waris, and A. A. H. Lateko (2014). “The Influence of Meteorological Parameters Under Tropical Conditon on Electricity Demand Characteristic: Indonesia Case Study.” Proceedings of the 1stInternational Conference on Information Technology, Computer and Electrical Engineering 383–387. IEEE.
  • Almuhtady, A., A. Alshwawra, M. Alfaouri, W. Al-Kouz, and I. Al-Hinti. 2019. “Investigation of the Trends of Electricity Demands in Jordan and Its Susceptibility to the Ambient Air Temperature Towards Sustainable Electricity Generation.” Energy, Sustainability and Society 9 (39): 1–18. https://doi.org/10.1186/s13705-019-0224-1.
  • Avdakovic, S., A. Ademovic, and A. Nuhanovic. 2013. “Correlation Between Air Temperature and Electricity Demand by Linear Regression and Wavelet Coherence Approach: UK, Slovakia and Bosnia and Herzegovina Case Study.” Archieves of Electrical Engineering 62 (4): 521–532. https://doi.org/10.2478/aee-2013-0042.
  • Avdakovic, S., A. Nuhanovic, M. Kusljugic, E. Becirovic, and E. Turkovic. 2013. “Wavelet Multiscale Analysis of a Power System Load Variance.” Turkish Journal of Electrical Engineering and Computer Sciences 2:1035‒1043. https://doi.org/10.3906/elk-1109-47.
  • Bilgili, F., D. B. Lorente, S. Kuskaya, F. Ünlü, P. Gençoğlu, and P. Rosha. 2021. “The Role of Hydropower Energy in the Level of CO2 Emissions: An Application of Continuous Wavelet Transform.” Renewable Energy 178:283–294. https://doi.org/10.1016/j.renene.2021.06.015.
  • Bonkaney, A. L., I. S. Sanda, and A. A. Balogum. 2019. “Wavelet Analysis of Daily Energy Demand and Weather Variables.” Journal of Energy 2019:1–7. https://doi.org/10.1155/2019/4974107.
  • Cawthorne, D., A. R. D. Queiroz, H. Eshraghi, A. Sankarasubramanian, and J. F. DeCarolis. 2021. “The Role of Temperature Variability on Seasonal Electricity Demand in the Southern US.” Frontier Sustainable Cities 3:1–11. https://doi.org/10.3389/frsc.2021.644789.
  • Cen, S., J. H. Yoo, and C. G. Lim. 2022. “Electricity Pattern Analysis by Clustering Domestic Load Profiles Using Discrete Wavelet Transform.” Energies 15:1–18. https://doi.org/10.3390/en15041350.
  • Condori, J., G. A. Lora, and S. D. Camargo (2022). “The Impact of Climate Change on Electricity Demand in the City of Huancayo.” Proceedings of the 6thInternational Conference on Energy and Environmental Science, 1008: 1–6. https://doi.org/10.1088/1755-1315/1008/1/012001.
  • Du, K., Y. Yu, and C. Wei. 2020. “Climatic Impact on China’s Residential Electricity Consumption: Does the Income Level Matter.” China Economic Review 63:1–12. https://doi.org/10.1016/j.chieco.2020.101520.
  • Emodi, N. V., T. Chaiechi, and A. R. A. Beg. 2018. “The Impact of Climate Change on Electricity Demand in Australia.” Energy & Environment 29 (7): 1–35. https://doi.org/10.1177/0958305x18776538.
  • Gastli, A., Y. Charabi, R. A. Alammari, and A. M. Al-Ali (2013). “Correlation Between Climate Data and Maximum Electricity Demand in Qatar.” Proceedings of the IEEE GCC Conference and Exhibition, Doha, Qatar, 565–570. IEEE.
  • González-Concepción, C., M. C. Gil-Fariña, and C. Pestano-Gabino. 2012. “Using Wavelets to Understand the Relationship Between Mortgages and Gross Domestic Product in Spain.” Journal of Applied Mathematics 2012:1–17. https://doi.org/10.1155/2012/917247.
  • Grinsted, A., J. C. Moore, and S. Jevrejeva. 2004. “Application of the Cross Wavelet Transform and Wavelet Coherence to Geophysical Time Series.” Nonlinear Processes in Geophysics 11 (5/6): 561–566. https://doi.org/10.5194/npg-11-561-2004.
  • Hammond, G. P., and R. Waldron (2008). “Risk Assessment of UK Electricity Supply in a Rapidly Evolving Energy Sector.” Proceedings of the IMechE Part A: J. Power and Energy 222, 623–642. https://doi.org/10.1243/09576509JPE543.
  • Istiaque, A., and S. I. Khan. 2018. “Impact of Ambient Temperature on Electricity Demand of Dhaka City of Bangladesh.” Energy and Power Engineering 10 (07): 319–331. https://doi.org/10.4236/epe.2018.107020.
  • Jo, H., and H. Kim. 2022. “Analyzing Electricity Consumption Factors of Buildings in Seoul, Korea Using Multiscale Geographically Weighted Regression.” Buildings 12 (678): 1–19. https://doi.org/10.3390/buildings12050678.
  • Jose, D., M. Mathew, and A. Krishnan (2016). “Weather Dependency of Electricity Demand: A Case Study in Warm Humid Tropical Climate.” Proceedings of the 3rdInternational Conference on Electrical Energy Systems, Chennai, India, 102–105. IEEE.
  • Kapler, P. 2021. “An Application of Continuous Wavelet Transform and Wavelet Coherence for Residential Power Consumer Load Profiles Analysis.” Bulletin of the Polish Academy of Sciences: Technical 69 (1): 1–8. https://doi.org/10.24425/bpasts.2020.136216.
  • Khochiani, R., and Y. Nademi. 2019. “Energy Consumption, CO2 Emissions, and Economic Growth in the United States, China, and India: A Wavelet Coherence Approach.” Energy & Environment 31 (5): 886–902. https://doi.org/10.1177/0958305x19881750.
  • Lee, H. K., and Y. S. Choi. 2019. “Application of Continuous Wavelet Transform and Convolutional Neural Network in Decoding Motor Imagery Brain-Computer Interface.” Entropy 21 (12): 1–11. https://doi.org/10.3390/e21121199.
  • Midiani, L. P. I., I. W. A. Subagia, and I. B. G. Widiantara (2017). “Characterized Temperature and Humidity for Classroom Comfort Zone in Bali.” Proceedings of the International Joint Conference on Science and Technology, Bali, Indonesia, 248–251.
  • Ministry of Energy and Mineral Resources. (2012). Republic of Indonesia Government Regulation No. 13 Year 2012 About Savings in Electricity Consumption. Accessed February 4, 2023. https://migas.esdm.go.id/uploads/regulasi/profil_peraturan_304.pdf.
  • Mirasgedis, S., Y. Sarafidis, E. Georgopoulou, D. P. Lalas, M. Moschovits, F. Karagiannis, and D. Papakonstantinou. 2006. “Models for Mid-Term Electricity Demand Forecasting Incorporating Weather Influences.” Energy 31 (2–3): 208–227. https://doi.org/10.1016/j.energy.2005.02.016.
  • Mir, A. A., K. Ullah, Z. A. Khan, F. Bashir, T. U. R. Khan, and A. Altamimi. 2021. “Short Term Load Forecasting for Electric Power Utilities: A Generalized Regression Approach Using Polynomials and Cross-Terms.” Engineering Procedia 12 (21): 1–4. https://doi.org/10.3390/engproc2021012021.
  • Moudjari, A., I. Kezzouli, H. Talbi, and A. Draa. 2019. “A Wavelet-Based Approach for Business Protocol Discovery of Web Services from Log Files.” Bulletin of the Polish Academy of Sciences: Technical 67 (3): 535–546. https://doi.org/10.24425/bpasts.2019.129652.
  • Nduhuura, P., M. Garschagen, and A. Zerga. 2021. “Impacts of Electricity Outages in Urban Households in Developing Countries: A Case of Accra, Ghana.” Energy 14 (12): 1–26. https://doi.org/10.3390/en14123676.
  • Papageorgiou, G., A. Efstathiades, M. Poullou, and A. N. Ness. 2020. “Managing Household Electricity Consumption: A Correlational, Regression Analysis.” International Journal of Sustainable Energy 39 (5): 1–11. https://doi.org/10.1080/14786451.2020.1718675.
  • Pardo, A., V. Meneu, and E. Valor. 2002. “Temperature and Seasonality Influences on Spanish Electricity Load.” Energy Economics 24 (1): 55–70. https://doi.org/10.1016/S0140-9883(01)00082-2.
  • Profillidis, V. A., and G. N. Botzoris. 2018. Modeling of Transport Demand: Analyzing, Calculating, and Forecasting Transport Demand. Elsevier. https://doi.org/10.1016/B978-0-12-811513-8.00003-0.
  • PT. PLN (Persero). (2021). PLN Statistics 2020. Accessed July 28, 2022. https://web.pln.co.id/statics/uploads/2021/07/Statistik-PLN-2020.pdf.
  • Raza, S. A., N. Shah, and A. Sharif. 2019. “Time Frequency Relationship Between Energy Consumption, Economic Growth and Environmental Degradation in the United States: Evidence from Transportation Sector.” Energy 173:706–720. https://doi.org/10.1016/j.energy.2019.01.077.
  • Salehizade, A. A., M. Rahmanian, M. Farajzadeh, and A. Ayoubi. 2015. “Analysis of Temperature Changes on Electricity Consumption in Fars Province.” Mediterranean Journal of Social Science 6 (3): 610–617. https://doi.org/10.5901/mjss.2015.v6n3s2p610.
  • Sarkodie, S. A., M. Y. Ahmed, and P. A. Owusu. 2021. “Ambient Air Pollution and Meteorological Factors Escalate Electricity Consumption.” Science of the Total Environment 795:1–13. https://doi.org/10.1016/j.scitotenv.2021.148841.
  • Saroha, S., M. Zurek-Mortka, J. R. Szymanski, V. Shekher, and P. Singla. 2021. “Forecasting of Market Clearing Volume Using Wavelet Packet-Based Neural Networks with Tracking Signals.” Energies 14 (19): 1–21. https://doi.org/10.3390/en14196065.
  • Shaikh, P. H., N. B. M. Nor, P. Nallagownden, and I. Elamvazuthi. 2013. “Building Energy Management Through a Distributed Fuzzy Inference System.” International Journal of Engineering & Technology 5 (4): 3236–3242.
  • Shaikh, P. H., N. B. M. Nor, P. Nallagownden, I. Elamvazuthi, and T. Ibrahim. 2014. “A Review on Optimized Control Systems for Building Energy and Comfort Management of Smart Sustainable Buildings.” Renewable and Sustainable Energy Reviews 34:409–429. https://doi.org/10.1016/j.rser.2014.03.027.
  • Sharif, A., R. Jammazi, S. A. Raza, and S. J. H. Shahzad. 2017. “Electricity and Growth Nexus Dynamics in Singapore: Fresh Insights Based on Wavelet Approach.” Energy Policy 110:686–692. https://doi.org/10.1016/j.enpol.2017.07.029.
  • Startz, R. 2007. EViews Illustrated for Version 6. Quantitative Micro Software.
  • Statistics Indonesia - Makassar City. (2021). Makassar City in Figures 2021. Accessed July 19, 2022. https://makassarkota.bps.go.id/publication/2021/02/26/be312e3f776bcfd005978bda/kota-makassar-dalam-angka-2021.html/.
  • Taylor, J., and R. Buizza. 2003. “Using Weather Ensemble Predictions in Electricity Demand Forecasting.” International Journal of Forecasting 19 (1): 57–70. https://doi.org/10.1016/S0169-2070(01)00123-6.
  • Topolewski, Ł. 2021. “Relationship Between Energy Consumption and Economic Growth in European Countries: Evidence from Dynamic Panel Data Analysis.” Energies 14 (12): 1–12. https://doi.org/10.3390/en14123565.
  • Valor, E., V. Meneu, and V. Caselles. 2001. “Daily Air Temperature and Electricity Load in Spain.” Journal of Applied Meteorology 40:1413–1421. https://doi.org/10.1175/1520-0450(2001)040<1413:DATAEL>2.0.CO;2.
  • Wangpattarapong, K., S. Maneewan, N. Ketjoy, and W. Rakwichian. 2008. “The Impacts of Climatic and Economic Factors on Residential Electricity Consumption of Bangkok Metropolis.” Energy and Buildings 40 (8): 1419–1425. https://doi.org/10.1016/j.enbuild.2008.01.006.
  • Wu, K. Y., Y. H. Huang, and J. H. Wu. 2018. “Impact of Electricity Shortages During Energy Transitions in Taiwan.” Energy 151:622–632. https://doi.org/10.1016/j.energy.2018.03.049.
  • Wu, L., and M. Shahidehpour. 2010. “A Hybrid Model for Day-Ahead Price Forecasting.” IEEE Transactions on Power Systems 25 (3): 1519–1530. https://doi.org/10.1109/TPWRS.2009.2039948.
  • Zhao, Y., R. C. Laguna, Y. Zhao, J. J. Liu, X. He, J. Yianni, and P. G. Sarrigiannis. 2018. “A Wavelet-Based Correlation Analysis Framework to Study Cerebromuscular Activity in Essential Tremor.” Complexity 2018:1–15. https://doi.org/10.1155/2018/7269494.