Nothing Special   »   [go: up one dir, main page]

Dinh et al., 2015 - Google Patents

Development of a procedure to analyze customers' choice of renewable energy heating technologies: application in Ireland

Dinh et al., 2015

View PDF
Document ID
16115240549992804673
Author
Dinh V
Basu B
Kennedy M
Publication year
Publication venue
Journal of Clean Energy Technologies

External Links

Snippet

In this paper, a procedure to analyze customers' choice of renewable energy technologies (RETs) using artificial neural networks is proposed. The relationships between input data such as the investment phases, grant amounts, date received, property age and total …
Continue reading at www.academia.edu (PDF) (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
    • 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
    • G06F17/5009—Computer-aided design using simulation
    • 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
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models
    • 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
    • G06Q50/10—Services
    • G06Q50/20—Education
    • 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
    • G06Q50/01—Social networking
    • 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
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computer systems based on specific mathematical models
    • G06N7/005—Probabilistic networks

Similar Documents

Publication Publication Date Title
Tian et al. Data driven parallel prediction of building energy consumption using generative adversarial nets
Nutkiewicz et al. Data-driven Urban Energy Simulation (DUE-S): A framework for integrating engineering simulation and machine learning methods in a multi-scale urban energy modeling workflow
Xu et al. Incorporating machine learning with building network analysis to predict multi-building energy use
Jing et al. Distributed or centralized? Designing district-level urban energy systems by a hierarchical approach considering demand uncertainties
Tsai et al. Models for forecasting growth trends in renewable energy
Alipour et al. Characteristics and scenarios of solar energy development in Iran: Fuzzy cognitive map-based approach
Rahman et al. Multicriteria-based decision aiding technique for assessing energy policy elements-demonstration to a case in Bangladesh
Al-Ghandoor et al. Electricity consumption in the industrial sector of Jordan: application of multivariate linear regression and adaptive neuro-fuzzy techniques
Kennedy et al. Analysis of consumer choice for low-carbon technologies by using neural networks
Chou et al. Risk-based group decision making regarding renewable energy schemes using a stochastic graphical matrix model
Ebrahimi et al. A five-dimensional approach to sustainability for prioritizing energy production systems using a revised GRA method: A case study
Xie Explanations about grey information and framework of grey system modeling
Xue et al. Comparative data-driven enhanced geothermal systems forecasting models: a case study of Qiabuqia field in China
Li et al. Dynamic and intelligent modeling methods for joint operation of a flood control system
Zadmirzaei et al. A novel integrated fuzzy DEA–artificial intelligence approach for assessing environmental efficiency and predicting CO2 emissions
Zhang et al. A fuzzy-stochastic power system planning model: Reflection of dual objectives and dual uncertainties
Li et al. A novel seasonal grey model for forecasting the quarterly natural gas production in China
Koponen et al. Towards robust renewable energy investment decisions at the territorial level
Laks et al. Fuzzy analytical hierarchy process methods in changing the damming level of a small hydropower plant: Case study of Rosko SHP in Poland
Xia et al. Developing socio-hydrology: Research progress, opportunities and challenges
Dehshiri et al. Evaluation of renewable energy projects based on sustainability goals using a hybrid pythagorean fuzzy-based decision approach
Gao et al. A multifactorial framework for short-term load forecasting system as well as the jinan’s case study
Kaur et al. An efficient generalized fuzzy TOPSIS algorithm for the selection of the hybrid energy resources: A comparative study between single and hybrid energy plant installation in Turkey
Khan et al. Deep dive into hybrid networks: A comparative study and novel architecture for efficient power prediction
Hai et al. Improved locust swarm optimization algorithm applied for building retrofitting based on the green policy of buildings