Defining Targets and Data
We identify relevant internal and external data based on your targets.
Internal Data
Industry Data
Socio-economic Data
Strukture
Quality
Digital Twin
Sorting and Integrating Data
Data quality is the starting point of Big Data. Our data experts are looking into it and create data models and digital twins according to your processes and objects of analysis.
Data Science
Now, Big Data really starts and it gets exciting. The GRIDS analytics tools identify patterns, simulate scenarios and make predictions and prescriptions for you to remain competitive.
Visualisation
Geo-reference
Information
Data Integration
Good decisions require a good presentation of information. A core element of the GRIDS principle is the display of the decision base in one image as 2D or 3D maps, dashboards and with KPIs. Alle products rely on a common design and usage concept.
Specific Solutions on a Standardized Platform
GRIDS offers you customized solutions based on the advantages of a standardized platform. You receive one base for different products and various user groups. By selecting the SaaS model your solution will automatically benefit from general improvements on GRIDS.
Even More Benefits with GRIDS
Rely on highest security standards
Quick Implementation
With the modular and open system architecture, the customization of standard modules is performed quickly and pilot projects can be implemented within a 3-4 month timeframe.
Strong Partners
Integration of various partners from the fields of digital solar cadaster, 3D building models, grid planning, data security and user management.
Data Security
Protecting and securing your data is of highest priority to enersis – our servers are located in Switzerland and Germany. We fully comply with European Union data privacy regulations.
GRIDS energyCity
Energy efficiency portal for cities, municipalities, and regions
GRIDS energyCity provides all energy-relevant information for cities, municipalities or regions in an easy to understand manner and quickly at one glance. The solution presents important KPIs in a geographic context and can be considered a digital energy concept which is up to date at any time. It allows an easy monitoring of energy efficiency measures over a longer time period as well as the simulation of different strategic options. Local or regional energy strategies can not only be planned digitally but also implemented effectively and visualized in an appealing way. GRIDS energyCity is an innovative platform for internal and external communication providing transparency to all stakeholders of a region (e.g. citizens, politicians, utilities, local companies).
The solution has been developed jointly with our sister company Navitas Consilium SA.
Features:
- Overview on the status of renewable energy infrastructure
- Identification of suitable roof surface for photovoltaic or solar thermal installations
- Energetic optimization of public lighting
- Energy consumption and CO2 emissions for electricity and heat by originating sector
- Compilation, monitoring, and simulation of CO2 balances
GRIDS assetAnalytics
Comprehensive, digitalized analysis of the distribution grid
GRIDS assetAnalytics compiles and visualizes all information relevant for capex decisions. These include, among others, the impact of additional decentralized energy generation on the low voltage grid, outage management analytics, the creation of synthetic sub-station load profiles and the bundling of all infrastructure asset data of a grid operator. The enersis Big Data platform integrates data from control systems, geographical information systems (GIS), electrotechnical load flow calculations as well as tariff and consumption data. It supports activities to ensure a powerful, profitable and future-proof distribution grid. GRIDS assetAnalytics creates transparency and economies of scale by a centralized data provisioning as digital solution. The processing of large data sets improves the quality of planning. Using the software is the new digital base for all investment decisions in the distribution grid.
Features:
- Calculation simulation and map-oriented visualization of optimizing resource allocation in the grid
- Analysis and consulting on data assets and systems
- Central data by integrating outage data, grid structures, cost and revenues, customer profiles and asset data
- Detailed information on selected grid segments/visualization of decentralized feeders and consumption of electricity
- Simulation of load flows and technical power line bottlenecks in the low voltage grid caused by the expansion of decentralized renewable feeders
