Ashouri Sanjani, 2019 - Google Patents
Data Mining Frameworks for Energy Consumption Reduction of Existing BuildingsAshouri Sanjani, 2019
View PDF- Document ID
- 1962180816274867031
- Author
- Ashouri Sanjani M
- Publication year
External Links
Snippet
Many technical solutions have been developed to reduce buildings' energy consumption, but limited efforts have been made to adequately address the role or action of building occupants in this process. On the other side, Building Management System (BMS) monitors …
- 238000005265 energy consumption 0 title abstract description 185
Classifications
-
- 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
- G06Q10/0639—Performance analysis
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- 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
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
-
- 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
- G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
- G06Q30/0202—Market predictions or demand forecasting
- G06Q30/0203—Market surveys or market polls
-
- 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
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Ashouri et al. | Development of building energy saving advisory: A data mining approach | |
Ashouri et al. | Development of a ranking procedure for energy performance evaluation of buildings based on occupant behavior | |
Hosamo et al. | Improving building occupant comfort through a digital twin approach: A Bayesian network model and predictive maintenance method | |
Li et al. | Development and improvement of occupant behavior models towards realistic building performance simulation: A review | |
Ashouri et al. | Systematic approach to provide building occupants with feedback to reduce energy consumption | |
CN107430387B (en) | Building automation prediction | |
Song et al. | Predicting hourly energy consumption in buildings using occupancy-related characteristics of end-user groups | |
Gunay et al. | Cluster analysis-based anomaly detection in building automation systems | |
Xu et al. | A critical review of occupant energy consumption behavior in buildings: How we got here, where we are, and where we are headed | |
Bengea et al. | Fault-tolerant optimal control of a building HVAC system | |
Xie et al. | Does historical data still count? Exploring the applicability of smart building applications in the post-pandemic period | |
Serrano-Guerrero et al. | Statistical methodology to assess changes in the electrical consumption profile of buildings | |
Xu et al. | Clustering-based probability distribution model for monthly residential building electricity consumption analysis | |
Touretzky et al. | Building-level power demand forecasting framework using building specific inputs: Development and applications | |
Markus et al. | A framework for a multi-source, data-driven building energy management toolkit | |
Mahmood et al. | A hierarchical multi-resolution agent-based modeling and simulation framework for household electricity demand profile | |
Liu et al. | Improvement of the energy evaluation methodology of individual office building with dynamic energy grading system | |
Wang et al. | Data-driven assessment of room air conditioner efficiency for saving energy | |
Cruz et al. | Pattern-driven behaviour for demand-side management: An analysis of appliance use | |
Hanafi et al. | Advancing Sustainable Energy Management: A Comprehensive Review of Artificial Intelligence Techniques in Building | |
Hossain et al. | Data analytics applied to the electricity consumption of office buildings to reveal building operational characteristics | |
Jiang et al. | Development, implementation, and impact analysis of model predictive control-based optimal precooling using smart home thermostats | |
Zhou et al. | An unsupervised data mining strategy for performance evaluation of ground source heat pump systems | |
Ashouri Sanjani | Data Mining Frameworks for Energy Consumption Reduction of Existing Buildings | |
Eghbalian et al. | Multi-view data mining approach for behaviour analysis of smart control valve |