Gomes et al., 2019 - Google Patents
Agent-based architecture for demand side management using real-time resources' priorities and a deterministic optimization algorithmGomes et al., 2019
View PDF- Document ID
- 10186754547677325368
- Author
- Gomes L
- Spínola J
- Vale Z
- Corchado J
- Publication year
- Publication venue
- Journal of Cleaner Production
External Links
Snippet
Microgrids and smart grids are largely accepted concepts in power energy systems. They bring an innovative and distributed view to the old centralized system. This demands a more active participation from end-consumers, that can be achieved by using demand response …
- 238000005457 optimization 0 title description 26
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for programme control, e.g. control unit
- G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5061—Partitioning or combining of resources
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F1/00—Details of data-processing equipment not covered by groups G06F3/00 - G06F13/00, e.g. cooling, packaging or power supply specially adapted for computer application
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce, e.g. shopping or e-commerce
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F2217/00—Indexing scheme relating to computer aided design [CAD]
- G06F2217/78—Power analysis and optimization
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
-
- 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 |
---|---|---|
Gomes et al. | Agent-based architecture for demand side management using real-time resources’ priorities and a deterministic optimization algorithm | |
Aguilar et al. | A systematic literature review on the use of artificial intelligence in energy self-management in smart buildings | |
Lawrence et al. | Ten questions concerning integrating smart buildings into the smart grid | |
Labeodan et al. | On the application of multi-agent systems in buildings for improved building operations, performance and smart grid interaction–A survey | |
Tushar et al. | Challenges and prospects for negawatt trading in light of recent technological developments | |
Gomes et al. | Microgrid management system based on a multi-agent approach: An office building pilot | |
Mauser et al. | Adaptive building energy management with multiple commodities and flexible evolutionary optimization | |
Kou et al. | Model-based and data-driven HVAC control strategies for residential demand response | |
Mir et al. | Energy management in smart buildings and homes: current approaches, a hypothetical solution, and open issues and challenges | |
Reis et al. | A multi-agent system approach to exploit demand-side flexibility in an energy community | |
Alam et al. | Computational methods for residential energy cost optimization in smart grids: A survey | |
Monacchi et al. | Assisted energy management in smart microgrids | |
Lawrence et al. | A new paradigm for the design and management of building systems | |
Khan et al. | Real-time scheduling of operational time for smart home appliances based on reinforcement learning | |
Cruz et al. | Behavioural patterns in aggregated demand response developments for communities targeting renewables | |
Nesmachnow et al. | Holistic multiobjective planning of datacenters powered by renewable energy | |
Javed et al. | An approach towards demand response optimization at the edge in smart energy systems using local clouds | |
Wang et al. | Consensus‐based decentralized energy trading for distributed energy resources | |
Talwariya et al. | Stackelberg game theory based energy management systems in the presence of renewable energy sources | |
He et al. | Management and real-time monitoring of interconnected energy hubs using digital twin: Machine learning based approach | |
Anghel et al. | Geyser: Enabling green data centres in smart cities | |
Adu-Kankam et al. | A framework for the integration of IoT components into the household digital twins for energy communities | |
Ding et al. | A smart energy system: distributed resource management, control and optimization | |
Mo | An agent-based simulation-assisted approach to bi-lateral building systems control | |
Capodieci et al. | An adaptive agent-based system for deregulated smart grids |