How does the digital data platform work?
The digital data platform determines the best way to distribute generated energy by analyzing data from energy sources and utilization areas. With near real-time data, management can also make timely and informed decisions to optimize their energy utilization and store any excess power generated.
As part of the pilot project, data from multiple vectors has been processed in real time, to generate dashboards and decisions on:
- Distributing the energy to EV charging stations
- Charging and discharging the batteries
- Distributing the energy to the power grid
- Extracting the energy from the power grid
Using AI and data science techniques, it's possible to predict the demand for energy at various energy vectors and power generation. Based on these predictions, an accurate pre agreement can be made. The digital data platform can present this data to distribution network operators and planners in a consistent and user-friendly manner. Using advanced statistical and power system analysis techniques, data and analytics platforms can provide a more accurate modelling of new network components.
What are the business benefits?
Business benefits can be gained by using the personalized digital data platform and include:
- Automation
Automatic triggering of the energy flow based on the analytical inputs and predefined rules based on real-time data - Increased Efficiency
By combining automation with AI, management can access accurate data that helps them make informed decisions - Empowered with Analytics
Gain insights into energy transmission through analytical dashboards and reports - Enabled Forecast
Understand future periods' demand, frequency, and price detail with the machine learning algorithm based forecast - Improved Accessibility
Analytical reports and meaningful dashboards can be accessed anytime and on any device
The data platform shifts the decision making and operations of utilities from reactive and proactive (routine) to predictive and prescriptive. As more and more data is processed through AI and machine learning (ML) models, utilities can gain deeper, accurate, and real-time / near real time insights on network, assets, incidents, consumers, and deregulated environments. Costs and risks will also be reduced.
Additionally, persona-based reporting and visualization will help improve productivity. By increasing efficiency and accuracy, enhancing asset performance, and reducing rework costs, the integrated data analytics platform can add significant value to electric utilities.
