[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Soldo et al., 2014 - Google Patents

Improving the residential natural gas consumption forecasting models by using solar radiation

Soldo et al., 2014

Document ID
16456304804172153196
Author
Soldo B
Potočnik P
Šimunović G
Šarić T
Govekar E
Publication year
Publication venue
Energy and buildings

External Links

Snippet

Natural gas is known as a clean energy source used for space heating in residential buildings. Residential sector is a major natural gas consumer that usually demands significant amount of total natural gas supplied in distribution systems. Since demands of all …
Continue reading at www.sciencedirect.com (other versions)

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
    • 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
    • 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
    • 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
    • G06Q50/06—Electricity, gas or water supply
    • 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
    • G06F17/10—Complex mathematical operations

Similar Documents

Publication Publication Date Title
Soldo et al. Improving the residential natural gas consumption forecasting models by using solar radiation
Dubey et al. Study and analysis of SARIMA and LSTM in forecasting time series data
Ahmad et al. Short and medium-term forecasting of cooling and heating load demand in building environment with data-mining based approaches
Fang et al. Evaluation of a multiple linear regression model and SARIMA model in forecasting heat demand for district heating system
Li et al. Modeling urban building energy use: A review of modeling approaches and procedures
Pombeiro et al. Comparative assessment of low-complexity models to predict electricity consumption in an institutional building: Linear regression vs. fuzzy modeling vs. neural networks
Amasyali et al. A review of data-driven building energy consumption prediction studies
Kneifel et al. Predicting energy performance of a net-zero energy building: A statistical approach
Koulamas et al. Suitability analysis of modeling and assessment approaches in energy efficiency in buildings
Yalcintas Energy-savings predictions for building-equipment retrofits
Bălan et al. Parameter identification and model based predictive control of temperature inside a house
Fumo A review on the basics of building energy estimation
Yun et al. Building hourly thermal load prediction using an indexed ARX model
Potočnik et al. Comparison of static and adaptive models for short-term residential natural gas forecasting in Croatia
Ghiaus Experimental estimation of building energy performance by robust regression
Tronchin et al. Linking design and operation performance analysis through model calibration: Parametric assessment on a Passive House building
Booth et al. A hierarchical Bayesian framework for calibrating micro-level models with macro-level data
Pombeiro et al. Dynamic programming and genetic algorithms to control an HVAC system: Maximizing thermal comfort and minimizing cost with PV production and storage
Xu et al. Prediction of thermal energy inside smart homes using IoT and classifier ensemble techniques
Jang et al. On the long-term density prediction of peak electricity load with demand side management in buildings
Pillai et al. Generation of synthetic benchmark electrical load profiles using publicly available load and weather data
Kim Building demand-side control using thermal energy storage under uncertainty: An adaptive Multiple Model-based Predictive Control (MMPC) approach
Ravnik et al. A method for natural gas forecasting and preliminary allocation based on unique standard natural gas consumption profiles
KR20150007330A (en) Methods and systems for measurement and verification weighting with temperature distribution
Siemann Performance and applications of residential building energy grey-box models