A GIS-portal platform from the data perspective to energy hub digitalization solutions- A review and a case study

The emergence of Geographic Information Systems (GIS) web platforms provides unique opportunities for human societies. GIS web platform technology has a two-way function, utilizing data obtained from physical and virtual environments to create harmony between the two. This review and case study pape...

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Veröffentlicht in:Renewable & sustainable energy reviews Jg. 223; S. 116019
Hauptverfasser: Majidi Nezhad, Meysam, Moradian, Sogol, Guezgouz, Mohammed, Shi, Xiaodan, Avelin, Anders, Wallin, Fredrik
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier Ltd 01.11.2025
Schlagworte:
Climate change
Climate models
Coupled Model Intercomparison Project
Coupled model intercomparison project phase 6
Coupled Model Intercomparison Project Phase 6 (CMIP6)
Data Sharing
Decision making
Digital elevation model
Digitalization
E-learning
Electronic document exchange
Energy
Energy hub
Energy hubs
Flexible platforms
Geo-spatial
Geographic information
Geographic information system web portal platform
Geographic information systems
Geospatial machine learning model
Geospatial machine learning models
GIS web portal platform
Information use
Innovative action
Innovative actions
Machine learning
Machine learning models
Mean square error
Portals
Project phasis
Surveying
Urban growth
Wind effects
Wind energy digitalization
Wind power
Zoning
Digitalization
Innovative actions
Energy hub
Wind energy digitalization
Coupled Model Intercomparison Project Phase 6 (CMIP6)
GIS web portal platform
Flexible platforms
Digital elevation model
Geospatial machine learning models
ISSN:1364-0321, 1879-0690
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Zusammenfassung:The emergence of Geographic Information Systems (GIS) web platforms provides unique opportunities for human societies. GIS web platform technology has a two-way function, utilizing data obtained from physical and virtual environments to create harmony between the two. This review and case study paper examines the recent development and implementation of GIS web technology, focusing on urban areas and city scales. Firstly, this article reviews technology trends in online GIS web platform tools by identifying key features and applications, including their role in decision-making support. Secondly, it describes the GIS-Web platform, data sharing framework, the end-user services integrated, case study and project overview, platform digitalization as next generation. Thirdly, a new energy data portal called "NRGYHUB" is introduced for municipal urban areas in Västerås City, Sweden. This GIS portal platform provides hourly data from thousands of energy meters, collected from electrical and heating energy networks to develop, maintain, and showcase a collection of city-wide GIS tools that assist in creating, implementing, and managing innovative services for urban planning in Västerås City. Additionally, this paper presents a Geospatial Artificial Intelligence (GeoAI) approach for generating wind power projection maps using Machine Learning (ML) models which collectively aim to provide insightful wind power forecasts under the effects of climate change focusing on Västerås. Time series data for each grid cell served as inputs for the Radial Basis Functions (RBF) models, incorporating wind speed projections from the Coupled Model Intercomparison Project Phase 6 (CMIP6) along with other influential variables, such as pressure gradient, temperature gradient, humidity, and Digital Elevation Model (DEM) data. The performance of the ML models was rigorously evaluated using multiple statistical metrics, including bias, Mean Absolute Error (MAE), Correlation Coefficient (Corr), Mean Error (ME), and Root Mean Square Error (RMSE). These metrics enabled a thorough assessment of the model's accuracy and bias-correction capabilities, ultimately improving the reliability of wind speed projections for the study area. •The recent development and implementation of GIS web technology, focusing on urban areas and city scales.•A reviews of technology trends in online GIS web platform tools by identifying key features and applications.•A new energy data portal called "NRGYHUB" is introduced for municipal urban areas.•A GeoAI approach for generating wind power projection maps using ML models.
ISSN:1364-0321
1879-0690
DOI:10.1016/j.rser.2025.116019