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Optimal energy supply structures for industrial food processing sites in different countries considering energy transitions. <i>Energy</i>. Published online 2017:112-123. doi:<a href=\"https://doi.org/10.1016/j.energy.2017.05.062\">10.1016/j.energy.2017.05.062</a>","mla":"Philipp, Matthias, et al. “Optimal Energy Supply Structures for Industrial Food Processing Sites in Different Countries Considering Energy Transitions.” <i>Energy</i>, 2017, pp. 112–23, doi:<a href=\"https://doi.org/10.1016/j.energy.2017.05.062\">10.1016/j.energy.2017.05.062</a>.","chicago":"Philipp, Matthias, Gregor Schumm, Ron-Hendrik Peesel, Timothy G. Walmsley, Martin J. Atkins, Florian Schlosser, and Jens Hesselbach. “Optimal Energy Supply Structures for Industrial Food Processing Sites in Different Countries Considering Energy Transitions.” <i>Energy</i>, 2017, 112–23. <a href=\"https://doi.org/10.1016/j.energy.2017.05.062\">https://doi.org/10.1016/j.energy.2017.05.062</a>.","short":"M. Philipp, G. Schumm, R.-H. Peesel, T.G. Walmsley, M.J. Atkins, F. Schlosser, J. Hesselbach, Energy (2017) 112–123.","ieee":"M. Philipp <i>et al.</i>, “Optimal energy supply structures for industrial food processing sites in different countries considering energy transitions,” <i>Energy</i>, pp. 112–123, 2017, doi: <a href=\"https://doi.org/10.1016/j.energy.2017.05.062\">10.1016/j.energy.2017.05.062</a>.","apa":"Philipp, M., Schumm, G., Peesel, R.-H., Walmsley, T. G., Atkins, M. J., Schlosser, F., &#38; Hesselbach, J. (2017). Optimal energy supply structures for industrial food processing sites in different countries considering energy transitions. <i>Energy</i>, 112–123. <a href=\"https://doi.org/10.1016/j.energy.2017.05.062\">https://doi.org/10.1016/j.energy.2017.05.062</a>"},"publication":"Energy","extern":"1"},{"date_created":"2021-04-13T10:26:38Z","type":"journal_article","publication":"Energy","citation":{"mla":"Meschede, Henning, et al. “Assessment of Probabilistic Distributed Factors Influencing Renewable Energy Supply for Hotels Using Monte-Carlo Methods.” <i>Energy</i>, 2017, pp. 86–100, doi:<a href=\"https://doi.org/10.1016/j.energy.2017.03.166\">10.1016/j.energy.2017.03.166</a>.","ama":"Meschede H, Dunkelberg H, Stöhr F, Peesel R-H, Hesselbach J. Assessment of probabilistic distributed factors influencing renewable energy supply for hotels using Monte-Carlo methods. <i>Energy</i>. 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