Assessment of sustainable energy system configuration for a small Canary island in 2030 H Meschede, M Child, C Breyer Energy Conversion and Management 165, 363-372, 2018 | 70 | 2018 |
Classification of global island regarding the opportunity of using RES H Meschede, P Holzapfel, F Kadelbach, J Hesselbach Applied Energy 175, 251-258, 2016 | 64 | 2016 |
On the transferability of smart energy systems on off-grid islands using cluster analysis–A case study for the Philippine archipelago H Meschede, EA Esparcia Jr, P Holzapfel, P Bertheau, RC Ang, ... Applied Energy 251, 113290, 2019 | 50 | 2019 |
Increased utilisation of renewable energies through demand response in the water supply sector–A case study H Meschede Energy 175, 810-817, 2019 | 36 | 2019 |
Assessment of probabilistic distributed factors influencing renewable energy supply for hotels using Monte-Carlo methods H Meschede, H Dunkelberg, F Stöhr, RH Peesel, J Hesselbach Energy 128, 86-100, 2017 | 31 | 2017 |
A review of 100% renewable energy scenarios on islands H Meschede, P Bertheau, S Khalili, C Breyer Wiley Interdisciplinary Reviews: Energy and Environment 11 (6), e450, 2022 | 28 | 2022 |
On the impact of probabilistic weather data on the economically optimal design of renewable energy systems–a case study on La Gomera island H Meschede, J Hesselbach, M Child, C Breyer International Journal of Sustainable Energy Planning and Management 23, 2019 | 28 | 2019 |
Automatic time series segmentation as the basis for unsupervised, non-intrusive load monitoring of machine tools JP Seevers, J Johst, T Weiß, H Meschede, J Hesselbach Procedia CIRP 81, 695-700, 2019 | 24 | 2019 |
Analysis on the demand response potential in hotels with varying probabilistic influencing time-series for the Canary Islands H Meschede Renewable Energy 160, 1480-1491, 2020 | 21 | 2020 |
Assessment of flexibilisation potential by changing energy sources using Monte Carlo simulation H Dunkelberg, M Sondermann, H Meschede, J Hesselbach Energies 12 (4), 711, 2019 | 17 | 2019 |
Optimization of cooling utility system with continuous self-learning performance models RH Peesel, F Schlosser, H Meschede, H Dunkelberg, TG Walmsley Energies 12 (10), 1926, 2019 | 15 | 2019 |
Classification and clustering of the German plastic industry with a special focus on the implementation of low and high temperature waste heat H Dunkelberg, F Schlosser, F Veitengruber, H Meschede, T Heidrich Journal of Cleaner Production 238, 117784, 2019 | 10 | 2019 |
Assessment of Influencing Factors in Decentralized Energy Supply of Manufacturing Industries Using Probabilistic Methods. H Dunkelberg, H Meschede, F Stöhr, J Hesselbach Simul. Notes Eur. 27 (2), 67-76, 2017 | 10 | 2017 |
Economic multiple model predictive control for HVAC systems—a case study for a food manufacturer in Germany T Heidrich, J Grobe, H Meschede, J Hesselbach Energies 11 (12), 3461, 2018 | 9 | 2018 |
Automatic detection of manufacturing equipment cycles using time series JP Seevers, K Jurczyk, H Meschede, J Hesselbach, JW Sutherland Journal of Computing and Information Science in Engineering 20 (3), 031005, 2020 | 7 | 2020 |
On the potential of temporally resolved GHG emission factors for load shifting: A case study on electrified steam generation I Wolf, PKR Holzapfel, H Meschede, M Finkbeiner Applied Energy 348, 121433, 2023 | 6 | 2023 |
Hybrid renewable energy utility systems for industrial sites: A review TG Walmsley, M Philipp, M Picón-Núñez, H Meschede, MT Taylor, ... Renewable and Sustainable Energy Reviews 188, 113802, 2023 | 5 | 2023 |
Lastmanagement in typischen Wirtschaftszweigen als Beitrag zur nachhaltigen Energieversorgung von Inseln H Meschede kassel university press GmbH, 2018 | 5 | 2018 |
Evaluation of a stratified tank based heat recovery loop via dynamic simulation F Schlosser, RH Peesel, H Meschede, M Philipp, TG Walmsley | 5 | 2018 |
Prädiktive simulationsgestützte Optimierung von Kältemaschinen im Verbund RH Peesel, F Schlosser, C Schaumburg, H Meschede Simulation in Produktion und Logistik, 2017 | 5 | 2017 |