Abstract
In this study, a home energy management system structure is developed in order to determine the optimal commitment of a smart-household. Two types of loads are explicitly modeled: non-thermostatically controllable (electric vehicle, shiftable appliances) and thermostatically controllable loads (air conditioner, electric water heater). Furthermore, small-scale self-production is considered by means of a photovoltaic system. A test case using realistic data is presented in order to investigate the combined effect of the aforementioned assets under real-time pricing demand response.
| Original language | English |
|---|---|
| Title of host publication | 2015 IEEE 5th International Conference on Power Engineering, Energy and Electrical Drives (POWERENG), 11-13 May 2015, Riga, Latvia |
| Publisher | IEEE Computer Society |
| Pages | 389-393 |
| Number of pages | 5 |
| ISBN (Print) | 9781479999781 |
| DOIs | |
| Publication status | Published - 14 Sept 2015 |
| Event | 5th International Conference on Power Engineering, Energy and Electrical Drives (POWERENG 2015), May 11-13, 2015, Riga, Latvia - Riga Technical University, Riga, Latvia Duration: 11 May 2015 → 13 May 2015 http://www.ieei.rtu.lv/POWERENG2015/ |
Conference
| Conference | 5th International Conference on Power Engineering, Energy and Electrical Drives (POWERENG 2015), May 11-13, 2015, Riga, Latvia |
|---|---|
| Abbreviated title | POWERENG 2015 |
| Country/Territory | Latvia |
| City | Riga |
| Period | 11/05/15 → 13/05/15 |
| Internet address |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Air conditioner
- Appliance Scheduling
- Electric Vehicle
- Electric Water Heater
- Shiftable Appliances
- Smart Home
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