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A threat analysis of the vehicle-to-grid charging protocol ISO 15118
Bao, Kaibin; Valev, Hristo; Wagner, Manuela; Schmeck, Hartmut Springer Nature 2017 p.3-12
A comprehensive modelling framework for demand side flexibility in smart grids
Barth, Lukas; Ludwig, Nicole; Mengelkamp, Esther; Staudt, Philipp Springer Nature 2017 p.13-23
Exploring zero-training algorithms for occupancy detection based on smart meter measurements
Becker, Vincent; Kleiminger, Wilhelm Springer Nature 2017 p.25-36
Using locally produced photovoltaic energy to charge electric vehicles
Buffat, René; Bucher, Dominik; Raubal, Martin Springer Nature 2017 p.37-47
Modeling and simulation of local flexibilities and their effect to the entire power system
Exel, Lukas; Frey, Georg Springer Nature 2017 p.49-60
Shaping aggregated load profiles based on optimized local scheduling of home appliances
Hunziker, Christoph; Schulz, Nicola; Wache, Holger Springer Nature 2017 p.61-70
Privacy-preserving blockchain-based electric vehicle charging with dynamic tariff decisions
Knirsch, Fabian; Unterweger, Andreas; Engel, Dominik Springer Nature 2017 p.71-79
Understanding price functions to control domestic electric water heaters for demand response
Lübkert, Tobias; Venzke, Marcus; Vo, Nhat-Vinh; Turau, Volker Springer Nature 2017 p.81-92
PROMT: predicting occupancy presence in multiple resolution with time-shift agnostic classification
Sangogboye, Fisayo Caleb; Kjærgaard, Mikkel Baun Springer Nature 2017 p.105-115
Efficiently solving DSM problems: Are we there yet?
Schmidt, Marc; Salah, Florian; Weinhardt, Christof Springer Nature 2017 p.117-126