Welcome to the first edition of the “Building on the Awesense Platform” series. Through this multi-part series, we will be showcasing the power of the Awesense Digital Energy Platform, the Awesense Data Engine, and the Awesense Open Energy Data Model. In this series we show you how these features can be used to rapidly build, test, and prototype applications and analytics using a variety of software tools.
Why are we creating this series?
In its simplest form: we are energy-data experts and we want to share our knowledge. The Digital Energy Platform is an energy-focused software platform built to help utilities, industrials, and energy system operators better understand, analyze and operate their energy grids. Utilities and other energy system operators have a plethora of data available to them. Data-generating devices connected to energy grids, such as smart meters, SCADA, DER, EVSE, and others, produce enormous amounts of insight-extractable measurement data.
When it comes to data and extracting full value out of data, it is difficult to know where to begin. Awesense has worked for over a decade enabling utilities, industrials, and other energy system operators to get meaningful insights from their energy data, and transform them into actionable decisions.
What exactly is the Awesense Platform providing?
Awesense provides tools to integrate a wide array of disparate data systems, connect, synchronize, align and normalize these data sources, and make this data accessible.
Using external analytical tools, Awesense provides our customers and partners with a seamless ability to rapidly access their critical data, build and test custom applications and analytics, and extract valuable insights for critical decision-making. These tools include Business Intelligence tools, data science Notebooking tools, and other analytical software tools.
Awesense’s Data Engine and Open Energy Data Model provide a foundation for the development of analytics, applications and algorithms focused on energy systems, such as a grid. The data model provides a framework to seamlessly integrate critical data from any energy system, and build solutions and applications on top of that model. These designed solutions are replicable across any other external jurisdiction or energy system due to the standardization performed by the Data Engine. These analytics and applications may be easily reproduced and sold to other energy system providers, thus expanding revenue streams, and accelerating deployments.
How are we going to explain all of this?
In this series, Awesense will be releasing information on popular tools that a whole range of utility professionals use in everyday work. Awesense will demonstrate how these tools can be easily used for building custom analytics and applications. The intention of this series is to demonstrate that skill level doesn’t play a significant role if someone wants to build on top of Awesense Data Platform. We will be covering spreadsheets, Business Intelligence (BI) tools, data science notebooking tools, and ETL tools.
Later, the future of this series will be focused on apps we have already built, sharing what tools were used to build them, and how you can go about doing it yourself. Apps and use-cases range from things like Non-Coincident Peak and Coincident Peak analysis, Transformer Loading Analysis, Prosumer Customer Identification, Outage Analytics, and many others.
Follow along to gather new ideas on how you can use your data to improve reliability, customer service, build resilience, and future-proof your operations. If you or your team are interested in building a custom use-case using the Awesense Platform, or you have an analytical tool we should demonstrate with our platform, feel free to reach out to us at email@example.com.