A model approach to long-term forecasting of electricity supply



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Conclution
A comprehensive program for long-term electricity supply forecasting is not just a technical exercise; it's a commitment to building a sustainable and resilient future. By embracing advanced methodologies, understanding the significance of accurate predictions, and considering the holistic development of communities, this program empowers societies to thrive amidst a rapidly evolving energy landscape. As we move forward, investing in such programs becomes imperative, ensuring that our communities are not just powered, but empowered, for generations to come.

References



  1. Salman Ahmad Akhwanzada, Razman bin Mat Tahar “Long-term electricity forecasting: A system dynamics approach” Proceedings of 2012 International Conference on Environment, Energy and Biotechnology (ICEEB 2012) Malaysia, 5-6 May, 2012, pp. xxx-xxx

  2. Moalem, S., Ahari, R.M.P.,Shahgholian, G., Moazzami, M., Kazemi, S.M.:Electricity supply chain hybrid long-term demandforecasting approach based on deep learning—a casestudy of basic metals industry. J. Eng. 2023, 1–17 (2023).https://doi.org/10.1049/tje2.12265

  3. Amusa, H., Amusa, K., and Mabugu, R., Aggregate demand for electricity in South Africa: An analysis using the bounds testing approach to cointegration, Energy Policy, vol. 37, no.10, pp. 4167-4175, 2009.

  4. Rasuba, M., Khuluse, S. and Elphinstone, C. D., Forecasts for electricity demand in South Africa (2010-2035) using the CSIR sectoral regression model. Available: http://www.energy.gov.za/irp/irp%20files/CSIR_model_ IRP%20forecasts%202010_final_v2.pdf, September 4, 2017.

  5. Acemoglu, Daron. 2002. “Why Not a Political Case Theorem? Social Conflict, Commitment, and Politics.” Department of Economics Working Paper Series. Massachusetts Institute of Technology Working Paper. Cambridge, Mass.: MIT, 2–44.

  6. Elena Agibalova, Igor Ilovaysky, Yanina Kayl, Viktoria Usanova.: Consumer protection in the digital environment SHS Web of Conferences 109, 01002(2021) LISID-2020 https://doi.org/10.1051/shsconf/202110901002

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