J.-P. Seevers, J. Johst, T. Weiß, H. Meschede, and J. Hesselbach, “Automatic Time Series Segmentation as the Basis for Unsupervised, Non-Intrusive Load Monitoring of Machine Tools,”10.1016/j.procir.2019.03.178__Procedia CIRP, pp. 695–700, 2019, doi:10.1016/j.procir.2019.03.178 .
LibreCat: /record/21616
DOI: 10.1016/j.procir.2019.03.178

H. Meschede, “Increased utilisation of renewable energies through demand response in the water supply sector – A case study,”10.1016/j.energy.2019.03.137__Energy, pp. 810–817, 2019, doi:10.1016/j.energy.2019.03.137 .
LibreCat: /record/21613
DOI: 10.1016/j.energy.2019.03.137

F. Schlosser, R.-H. Hechelmann, H. Meschede, P. Matthias, and T. G. Walmsley, “Evaluation of a Stratified Tank based Heat Recovery Loop via Dynamic Simulation,”10.3303/CET1870068__in Chemical Engineering Transactions, Prague, 2018, vol. 70, pp. 403–408, doi:10.3303/CET1870068 .
LibreCat: /record/24665
DOI: 10.3303/CET1870068

H. Meschede, H. Dunkelberg, F. Stöhr, R.-H. Peesel, and J. Hesselbach, “Assessment of probabilistic distributed factors influencing renewable energy supply for hotels using Monte-Carlo methods,”10.1016/j.energy.2017.03.166__Energy, pp. 86–100, 2017, doi:10.1016/j.energy.2017.03.166 .
LibreCat: /record/21615
DOI: 10.1016/j.energy.2017.03.166

H. Meschede, P. Holzapfel, F. Kadelbach, and J. Hesselbach, “Classification of global island regarding the opportunity of using RES,”10.1016/j.apenergy.2016.05.018__Applied Energy, pp. 251–258, 2016, doi:10.1016/j.apenergy.2016.05.018 .
LibreCat: /record/21611
DOI: 10.1016/j.apenergy.2016.05.018