Korkas et al., 2018 - Google Patents
Grid-connected microgrids: Demand management via distributed control and human-in-the-loop optimizationKorkas et al., 2018
View PDF- Document ID
- 10835695728261293300
- Author
- Korkas C
- Baldi S
- Kosmatopoulos E
- Publication year
- Publication venue
- Advances in renewable energies and power technologies
External Links
Snippet
Making the grid smarter requires the management and modification of normal consumption patterns in buildings and block of buildings1 in response to events in the grid (mainly, fluctuating availability of renewable energy sources and consumer behavior)[1]. Since the …
- 238000005457 optimization 0 title description 23
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D23/00—Control of temperature
- G05D23/19—Control of temperature characterised by the use of electric means
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING ENGINES OR PUMPS
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING, AIR-HUMIDIFICATION, VENTILATION, USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety systems or apparatus
- F24F11/0009—Electrical control or safety systems or apparatus
- F24F11/0086—Control systems or circuits characterised by other control features, e.g. display or monitoring devices
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING ENGINES OR PUMPS
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING, AIR-HUMIDIFICATION, VENTILATION, USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety systems or apparatus
- F24F11/0009—Electrical control or safety systems or apparatus
- F24F11/006—Control systems or circuits characterised by type of control, internal processing or calculations, e.g. using fuzzy logic adaptative control or estimating values
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Korkas et al. | Grid-connected microgrids: Demand management via distributed control and human-in-the-loop optimization | |
| Vedullapalli et al. | Combined HVAC and battery scheduling for demand response in a building | |
| EP3343719B1 (en) | Systems and methods for performing building energy management | |
| Rajasekhar et al. | A survey of computational intelligence techniques for air-conditioners energy management | |
| US11374409B2 (en) | Power system load flexibility forecasting | |
| Rajasekhar et al. | Collaborative energy management for a residential community: A non-cooperative and evolutionary approach | |
| US10373082B2 (en) | Integration of commercial building operations with electric system operations and markets | |
| Meng et al. | Coordinated dispatch of virtual energy storage systems in smart distribution networks for loading management | |
| CN106233321A (en) | For optimizing operational approach and the device of the intelligence system of power consumption | |
| Chatterjee et al. | Multi-objective energy management of a smart home in real time environment | |
| Hagras et al. | An intelligent agent based approach for energy management in commercial buildings | |
| Mohammad et al. | Transactive control of industrial heating–ventilation–air-conditioning units in cold-storage warehouses for demand response | |
| Naug et al. | Online energy management in commercial buildings using deep reinforcement learning | |
| WO2020237468A1 (en) | Method, apparatus and system for determining temperature setting value, and storage medium and processor | |
| Malik et al. | Optimal control based on scheduling for comfortable smart home environment | |
| Javaid et al. | Energy management with a world-wide adaptive thermostat using fuzzy inference system | |
| EP3352027B1 (en) | Method and system of smart climatization management | |
| Javaid et al. | Controlling energy consumption with the world-wide adaptive thermostat using fuzzy inference system in smart grid | |
| Javaid et al. | Optimizing energy consumption of air-conditioning systems with the fuzzy logic controllers in residential buildings: Optimizing energy consumption of air-conditioning systems in residential buildings | |
| Bara et al. | Model-free load control for high penetration of solar photovoltaic generation | |
| Serale et al. | Development of algorithms for building energy efficiency | |
| US20230170697A1 (en) | Techniques for predictive control of energy use in a structure | |
| Rajasekhar et al. | Multi-stage scheduling for a smart home with solar PV and battery energy storage—A case study | |
| Kosmatopoulos | GRID-CONNECTED MICROGRIDS: DEMAND MANAGEMENT VIA DISTRIBUTED CONTROL AND | |
| Friansa et al. | Enhancing University Building Energy Flexibility Performance Using Reinforcement Learning Control |