An introduction to the EDI-Net dashboard
The EDI-Net dashboard can automatically analyse metered data from an entire building portfolio. The dashboard continuously calculates energy performance metrics so that when new data arrive in the system (typically data are uploaded several times per day) they are automatically added into the analysis. The dashboard ensures the results of analysis are up-to-date and available in a format that can be readily used to support decision-making.
The analysis generates performance indicators for each dataset in your building portfolio (i.e. electricity, gas, water etc.). The indicators are based on a comparison between the historical patterns of consumption and the actual current consumption. The dashboard presents these metrics as smiley faces. If a building is using less energy than expected then it has a green, happy face. If a building is using more energy than expected then it has a red, sad face. If consumption is in line with expectations then a yellow, neutral face is presented.
Presenting these metrics for all buildings in a portfolio gives a league table of current performance. This is a core tool in the EDI-Net dashboard as it reveals which buildings may be performing poorly or well at any moment. The order of buildings regularly shifts according to the current circumstances. For example, a small water leak in a building will immediately cause the building to be highlighted as red and push it to the top of the list.
Predictions are made using a detailed consumption model fitted to historical data. This model provides a prediction of the expected range of consumption for a given dataset under given conditions. The current consumption is being continuously compared to the general pattern over the last twelve months. This means that the indicator shows the current direction of travel and any building can move from sad to happy and vice versa in a matter of a few hours.
Main elements of the user interface
The interface is divided broadly into three parts.
- data import, to get data into the system
- data analysis, to configure how data are processed and to inspect the results
- report generation, to publish reports
Users can manage the data imported into the system. This includes the ability to upload data files directly and to configure datasets to be imported automatically from external systems. In general, this allows for the dashboard to be continuously updated with the latest data. We also provide limited tools for inspecting and editing these raw data.
Users can also configure their data to be combined into datasets ready for analysis. This includes merging raw datasets together into so-called ‘virtual meters’ and adding basic information such as location and a baseline period from which an analysis can be conducted. This provides the system with enough information to conduct a continuous and automated analysis of each configured dataset. As new data are imported they will automatically be merged into the analysis. The results of this analysis are made available as simple reports and can be inspected in detail.
Users can also combine the low-level analyses into reports which compare multiple datasets. For example, related datasets (e.g. the gas, electricity and water data from one building) can be collected together. A set of buildings can then be compared as a league table. The system provides a means to publish these league table reports to a public user interface.
EDI-Net UNDERSTAND-Dashboard Public Tutorial
Introduction to EDI-Net’s pubic dashboard (Tutorial) See how your institution’s energy consumption is being displayed publically. Learn how to use the dashboard to point towards energy waste.
EDI-Net UNDERSTAND-Energy professionals
The inner workings of the EDI-Net dashboard. See how metering data is organised in EDI-Net. Learn how to quickly structure your data for public display.
This has been a very brief introduction to the basic functionality of the EDI-Net dashboard. I hope it was useful.