Modeling an aggressive energy-efficiency scenario in long-range load forecasting for electric power transmission planning
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DOI: 10.1016/j.apenergy.2014.04.096
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- Yeo, In-Ae & Yoon, Seong-Hwan & Yee, Jurng-Jae, 2013. "Development of an urban energy demand forecasting system to support environmentally friendly urban planning," Applied Energy, Elsevier, vol. 110(C), pages 304-317.
- Hahn, Heiko & Meyer-Nieberg, Silja & Pickl, Stefan, 2009. "Electric load forecasting methods: Tools for decision making," European Journal of Operational Research, Elsevier, vol. 199(3), pages 902-907, December.
- Andersen, F.M. & Larsen, H.V. & Gaardestrup, R.B., 2013. "Long term forecasting of hourly electricity consumption in local areas in Denmark," Applied Energy, Elsevier, vol. 110(C), pages 147-162.
- Morini, Mirko & Pinelli, Michele & Spina, Pier Ruggero & Venturini, Mauro, 2013. "Optimal allocation of thermal, electric and cooling loads among generation technologies in household applications," Applied Energy, Elsevier, vol. 112(C), pages 205-214.
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Cited by:
- Lü, Xiaoshu & Lu, Tao & Kibert, Charles J. & Viljanen, Martti, 2015. "Modeling and forecasting energy consumption for heterogeneous buildings using a physical–statistical approach," Applied Energy, Elsevier, vol. 144(C), pages 261-275.
- Gençer, Emre & Torkamani, Sarah & Miller, Ian & Wu, Tony Wenzhao & O'Sullivan, Francis, 2020. "Sustainable energy system analysis modeling environment: Analyzing life cycle emissions of the energy transition," Applied Energy, Elsevier, vol. 277(C).
- Zhao, Huiru & Guo, Sen, 2016. "An optimized grey model for annual power load forecasting," Energy, Elsevier, vol. 107(C), pages 272-286.
- Tao Hong & Katarzyna Maciejowska & Jakub Nowotarski & Rafal Weron, 2014. "Probabilistic load forecasting via Quantile Regression Averaging of independent expert forecasts," HSC Research Reports HSC/14/10, Hugo Steinhaus Center, Wroclaw University of Technology.
- Cadini, Francesco & Agliardi, Gian Luca & Zio, Enrico, 2017. "A modeling and simulation framework for the reliability/availability assessment of a power transmission grid subject to cascading failures under extreme weather conditions," Applied Energy, Elsevier, vol. 185(P1), pages 267-279.
- de la Rue du Can, Stephane & Pudleiner, David & Pielli, Katrina, 2018. "Energy efficiency as a means to expand energy access: A Uganda roadmap," Energy Policy, Elsevier, vol. 120(C), pages 354-364.
- Gholami, M. & Barbaresi, A. & Torreggiani, D. & Tassinari, P., 2020. "Upscaling of spatial energy planning, phases, methods, and techniques: A systematic review through meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
- Partha Gangopadhyay & Narasingha Das, 2022. "Can Energy Efficiency Promote Human Development in a Developing Economy?," Sustainability, MDPI, vol. 14(21), pages 1-20, November.
- Jose R. Vargas-Jaramillo & Jhon A. Montanez-Barrera & Michael R. von Spakovsky & Lamine Mili & Sergio Cano-Andrade, 2019. "Effects of Producer and Transmission Reliability on the Sustainability Assessment of Power System Networks," Energies, MDPI, vol. 12(3), pages 1-21, February.
- Bonati, A. & De Luca, G. & Fabozzi, S. & Massarotti, N. & Vanoli, L., 2019. "The integration of exergy criterion in energy planning analysis for 100% renewable system," Energy, Elsevier, vol. 174(C), pages 749-767.
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Keywords
Load forecasting; Energy efficiency; Transmission planning;All these keywords.
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