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Carvallo, C., Jalil-Vega, F., & Moreno, R. (2023). A multi-energy multi-microgrid system planning model for decarbonisation and decontamination of isolated systems. Appl. Energy, 343, 121143.
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Go, R. S., Munoz, F. D., & Watson, J. P. (2016). Assessing the economic value of co-optimized grid-scale energy storage investments in supporting high renewable portfolio standards. Appl. Energy, 183, 902–913.
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Grigioni, I., Polo, A., Dozzi, M. V., Stamplecoskie, K. G., Jara, D. H., Kamat, P. V., et al. (2022). Enhanced Charge Carrier Separation in WO3/BiVO4 Photoanodes Achieved via Light Absorption in the BiVO4 Layer. ACS Appl. Energy Mater., 5(11), 13142–13148.
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Guevara, E., Babonneau, F., Homem-de-Mello, T., & Moret, S. (2020). A machine learning and distributionally robust optimization framework for strategic energy planning under uncertainty. Appl. Energy, 271, 18 pp.
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Salgado, M., Negrete-Pincetic, M., Lorca, A., & Olivares, D. (2021). A Low-complexity Home Energy Management System for Electricity Demand Side Aggregators. Appl. Energy, 2021(294), 116985.
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Salgado, M., Negrete-Pincetic, M., Lorca, A., & Olivares, D. (2021). A low-complexity decision model for home energy management systems. Appl. Energy, 294, 116985.
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Wickham, D., Hawkes, A., & Jalil-Vega, F. (2021). Hydrogen supply chain optimisation for the transport sector-Focus on hydrogen purity and purification requirements. Appl. Energy, 305, 117740.
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