Optimal Scheduling of Electric Heat Pumps Combined with Thermal Storage for Power Peak Shaving
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
In: 10.1109/EEEIC.2018.8494592
- Classification
-
Politik
- Event
-
Veröffentlichung
- (where)
-
Aachen
- (who)
-
Universitätsbibliothek der RWTH Aachen
- (when)
-
2018
- Creator
- DOI
-
10.18154/RWTH-2018-231275
- URN
-
urn:nbn:de:101:1-2021012507144365035208
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
- 15.08.2025, 7:26 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Pau, Marco
- Cunsolo, Francesco
- Vivian, Jacopo
- Ponci, Ferdinanda
- Monti, Antonello
- Universitätsbibliothek der RWTH Aachen
Time of origin
- 2018
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Impact of customers flexibility in heat pumps scheduling for demand side management
Computational Performance Study on the Alternating Direction Method of Multipliers Algorithm for a Demand Response Peak Shaving Application
pycity_scheduling - A Python framework for the development and assessment of optimisation-based power scheduling algorithms for multi-energy systems in city districts
Optimized placement of thermo-electric energy systems in city districts under uncertainty
Two-level agent-based scheduling for a cluster of heating systems
Distributed Consensus Control Supported by High Reporting Rate Meters in Inverter-Based Cyber-Physical Microgrids
A Flexible Framework to Investigate Cascading in Interdependent Networks of Power Systems
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A Market-Based Optimization Approach for Domestic Thermal and Electricity Energy Management System : Formulation and Assessment
Optimal Scheduling of Heat Pumps for Power Peak Shaving and Customers Thermal Comfort
Impact of customers flexibility in heat pumps scheduling for demand side management
Computational Performance Study on the Alternating Direction Method of Multipliers Algorithm for a Demand Response Peak Shaving Application
pycity_scheduling - A Python framework for the development and assessment of optimisation-based power scheduling algorithms for multi-energy systems in city districts
Optimized placement of thermo-electric energy systems in city districts under uncertainty
Two-level agent-based scheduling for a cluster of heating systems
Distributed Consensus Control Supported by High Reporting Rate Meters in Inverter-Based Cyber-Physical Microgrids
A Flexible Framework to Investigate Cascading in Interdependent Networks of Power Systems
Review of Modern Control Technologies for Voltage Regulation in DC/DC Converters of DC Microgrids
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