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

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

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

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

Classification of global island regarding the opportunity of using RES
H. Meschede, P. Holzapfel, F. Kadelbach, J. Hesselbach, Applied Energy (2016) 251–258.
LibreCat: /record/21611
DOI: 10.1016/j.apenergy.2016.05.018