Dejalytics has built its cloud platform to deliver “as a service” solutions that make an immediate impact on customers. Our predictive models and trading/dispatch logic are built on physical grid data and market price behavior. They are embedded within the analytics platform which has been engineered for real-time performance and reliability.
The architecture supports multiple AI-driven applications in multiple energy markets, all supporting optimized generation dispatch, trading, and demand management solutions.
The cloud-based Dejalytics Analytics Platform takes advantage of the economics, reliability and security of AWS and Azure. It has been built to ingest large volumes of real time data, transform the data into functions and structures for machine learning and continuously execute large numbers of predictive models. The Platform includes secure API’s for exchanging data with generation and load assets, energy management systems and trading systems.
All our solutions are built on the Platform and take care of the complexities of data management and data science so there is no need to invest in additional skills, additional data sources or IT infrastructure. The solutions include configurable alerts and dashboards for use by real time operations teams.
A common thread across all our solutions
Customizable dashboards for fast decision-making. API’s for data exchange and integration with customer applications and equipment interfaces.
Multiple AI and Machine Learning technologies combined with rigorous data engineering create uniquely powerful results for energy market participants.
Code for complex data operations is designed for rapid execution so that applications respond in real-time to changing grid and market conditions.
Architecture that ensures uninterrupted 24/7 operation. In addition to layers of failover and backup support, continuous monitoring of inbound data quality ensures that models remain reliable.
Data and application architectures are designed for horizontal and vertical scalability across markets and use cases.
Security includes isolation between public, private, and database subnets, and data is encrypted both in transit and at rest. Processes and policies follow industry standards.