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

Abouelaziz et al., 2024 - Google Patents

Photogrammetry and deep learning for energy production prediction and building-integrated photovoltaics decarbonization

Abouelaziz et al., 2024

Document ID
10695683287437776591
Author
Abouelaziz I
Jouane Y
Publication year
Publication venue
Building Simulation

External Links

Snippet

Building-Integrated photovoltaics (BIPV) have emerged as a promising sustainable energy solution, relying on accurate energy production predictions and effective decarbonization strategies for efficient deployment. This paper presents a novel approach that combines …
Continue reading at link.springer.com (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063Operations research or analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/0063Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas
    • G06K9/00657Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas of vegetation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/00664Recognising scenes such as could be captured by a camera operated by a pedestrian or robot, including objects at substantially different ranges from the camera
    • G06K9/00684Categorising the entire scene, e.g. birthday party or wedding scene
    • G06K9/00697Outdoor scenes
    • G06K9/00704Urban scenes
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GASES [GHG] EMISSION, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/50Photovoltaic [PV] energy

Similar Documents

Publication Publication Date Title
Sun et al. Estimating the spatial distribution of solar photovoltaic power generation potential on different types of rural rooftops using a deep learning network applied to satellite images
Mansouri Kouhestani et al. Evaluating solar energy technical and economic potential on rooftops in an urban setting: the city of Lethbridge, Canada
Assouline et al. Large-scale rooftop solar photovoltaic technical potential estimation using Random Forests
Tooke et al. Tree structure influences on rooftop-received solar radiation
Killinger et al. On the search for representative characteristics of PV systems: Data collection and analysis of PV system azimuth, tilt, capacity, yield and shading
Engerer et al. KPV: A clear-sky index for photovoltaics
Haupt et al. Variable generation power forecasting as a big data problem
Nobre et al. PV power conversion and short-term forecasting in a tropical, densely-built environment in Singapore
Bottaccioli et al. GIS-based software infrastructure to model PV generation in fine-grained spatio-temporal domain
JP6693330B2 (en) Solar power system operation
Meng et al. Data-driven inference of unknown tilt and azimuth of distributed PV systems
Li Using GIS and remote sensing techniques for solar panel installation site selection
Liu et al. Investigation on the distribution patterns and predictive model of solar radiation in urban street canyons with panorama images
Santos et al. Solar potential analysis in Lisbon using LiDAR data
Adjiski et al. Assessment of the solar energy potential of rooftops using LiDAR datasets and GIS based approach
Yan et al. Estimation of urban-scale photovoltaic potential: A deep learning-based approach for constructing three-dimensional building models from optical remote sensing imagery
Abouelaziz et al. Photogrammetry and deep learning for energy production prediction and building-integrated photovoltaics decarbonization
CN110781458A (en) Method for predicting surface solar irradiance based on mixed regression model
Muhammed et al. Building rooftops extraction for solar PV potential estimation using gis-based methods
Peratikou et al. Estimating clear-sky PV electricity production without exogenous data
Chen et al. City-scale solar PV potential estimation on 3D buildings using multi-source RS data: A case study in Wuhan, China
Tian et al. Combining point cloud and surface methods for modeling partial shading impacts of trees on urban solar irradiance
Durán et al. Automated classification of simulated wind field patterns from multiphysics ensemble forecasts
Lodhi et al. Harnessing rooftop solar photovoltaic potential in Islamabad, Pakistan: A remote sensing and deep learning approach
CN115690598B (en) Outdoor environment temperature remote sensing inversion method based on satellite data and random forest model