Image de couverture de livre

The impact of heatwave-driven air conditioning adoption on electricity demand: A spatio-temporal case study for Germany

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Semmelmann, Leo, Scheidt, Frederik vom
Format:	Preprint
Publié:	2025
Sujets:	Systems and Control
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Model predictive control lowers barriers to adoption of heat-pump water heaters: A field study
par: Premer, Levi D. Reyes, et autres
Publié: (2025)

A memristive model of spatio-temporal excitability
par: Burger, Thomas SJ, et autres
Publié: (2025)

Online distributed optimization for spatio-temporally constrained real-time peer-to-peer energy trading
par: Liu, Junhong, et autres
Publié: (2025)

Discrete-time linear quadratic stochastic control with equality-constrained inputs: Application to energy demand response
par: Seugnet, Leo, et autres
Publié: (2026)

A model predictive control framework with customer-priority tiers for virtual power plant resilience during extreme weather: A UK heatwave case study
par: Moroshko, Edward, et autres
Publié: (2025)

Hashprice modulates the electricity demand response of Bitcoin miners
par: Majumder, Subir
Publié: (2026)

Aggregated demand flexibility prediction of residential thermostatically controlled loads and participation in electricity balance markets
par: Martín-Crespo, Alejandro, et autres
Publié: (2023)

The impact of modeling approaches on controlling safety-critical, highly perturbed systems: the case for data-driven models
par: Łaszkiewicz, Piotr, et autres
Publié: (2025)

Schrödinger's control and estimation paradigm with spatio-temporal distributions on graphs
par: Eldesoukey, Asmaa, et autres
Publié: (2023)

Pareto local search for a multi-objective demand response problem in residential areas with heat pumps and electric vehicles
par: Dengiz, Thomas, et autres
Publié: (2024)

An excursion onto Schrödinger's bridges: Stochastic flows with spatio-temporal marginals
par: Eldesoukey, Asmaa, et autres
Publié: (2024)

Stability of data-driven Koopman MPC with terminal conditions
par: Schimperna, Irene, et autres
Publié: (2025)

Uncertainty quantification in load profiles with rising EV and PV adoption: the case of residential, industrial, and office buildings
par: Fias, Aiko, et autres
Publié: (2025)

Data-driven MPC with terminal conditions in the Koopman framework
par: Worthmann, Karl, et autres
Publié: (2024)

Emissions and cost tradeoffs of time-matched clean electricity procurement under inter-annual weather variability -- case study of hydrogen production
par: Giovanniello, Michael, et autres
Publié: (2026)

Assessing the impact of weather-induced uncertainties in large-scale electricity systems
par: Peper, Jan, et autres
Publié: (2024)

Direct data-driven control with signal temporal logic specifications
par: van Huijgevoort, Birgit C., et autres
Publié: (2023)

On the impact of regularization in data-driven predictive control
par: Breschi, Valentina, et autres
Publié: (2023)

Meta-learning of data-driven controllers with automatic model reference tuning: theory and experimental case study
par: Busetto, Riccardo, et autres
Publié: (2024)

Optimal control driven functional electrical stimulation: A scoping review
par: Co, Kevin, et autres
Publié: (2025)

A data-driven approach for safety quantification of non-linear stochastic systems with unknown additive noise distribution
par: Mathiesen, Frederik Baymler, et autres
Publié: (2024)

Inclusion conditions for the Constrained Polynomial Zonotopic case
par: Gheorghe, Bogdan, et autres
Publié: (2026)

Battery model impact on time-optimal co-design for electric racing cars: review and application
par: Riva, Giorgio, et autres
Publié: (2023)

Multi-technology co-optimization approach for sustainable hydrogen and electricity supply chains considering variability and demand scale
par: Kim, Sunwoo, et autres
Publié: (2024)

Autonomous Minibus Service with Semi-on-demand Routes in Grid Networks
par: Ng, Max T. M., et autres
Publié: (2024)

Versatile Airborne Ultrasonic NDT Technologies via Active Omni-Sliding with Over-Actuated Aerial Vehicles
par: Hui, Tong, et autres
Publié: (2023)

Protecting residential electrical panels and service through model predictive control: A field study
par: Pergantis, Elias N., et autres
Publié: (2024)

Runway capacity expansion planning for public airports under demand uncertainty
par: Li, Ziyue, et autres
Publié: (2025)

Towards socio-techno-economic power systems with demand-side flexibility
par: Cai, Hanmin, et autres
Publié: (2026)

Balancing hydrogen delivery in national energy systems: impact of the temporal flexibility of hydrogen delivery on export prices
par: Abdel-Khalek, Hazem, et autres
Publié: (2025)

VB-NET: A physics-constrained gray-box deep learning framework for modeling air conditioning systems as virtual batteries
par: Qi, Yuchen, et autres
Publié: (2026)

Optimal price signal generation for demand-side energy management
par: Tohidi, Seyed Shahabaldin, et autres
Publié: (2024)

Data-driven modeling and supervisory control system optimization for plug-in hybrid electric vehicles
par: Zhang, Hao, et autres
Publié: (2024)

A hybrid neural network for real-time OD demand calibration under disruptions
par: Dantsuji, Takao, et autres
Publié: (2024)

System-level thermal and electrical modeling of battery systems for electric aircraft design
par: Kuijpers, Thomas, et autres
Publié: (2024)

Adaptive flexibility function in smart energy systems: A linearized price-demand mapping approach
par: Tohidi, Seyed Shahabaldin, et autres
Publié: (2023)

Large problems are not necessarily hard: A case study on distributed NMPC paying off
par: Stomberg, Gösta, et autres
Publié: (2024)

A Robust Periodic Controller for Spacecraft Attitude Tracking
par: Thiele, Frederik, et autres
Publié: (2025)

Incorporating flexibility and resilience demand into capacity market considering the guidance on generation investment
par: Xiao, Yunpeng, et autres
Publié: (2025)

Adaptive model predictive control for traffic signal timing with unknown demand and parameters
par: Li, Zhexian, et autres
Publié: (2025)