Welcome to the Learn to Build Better series. This multi-part series showcases the tools and techniques to rapidly build, test, and prototype energy-focused applications, analytics and use cases on the Awesense Energy Transition Platform, using the AI Data Engine to process data, and TGI or APIs to access and visualize the data structured according to the Awesense open Energy Data Model (EDM).
Why are we creating this series?
In its simplest form, we are energy-data experts and want to share our knowledge. The Energy Transition 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. 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 isn’t easy 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. Through this series, we will educate our customers, partners, and any organization that hopes to become more data-driven.
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 use cases, 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 Energy Data Model provide a foundation for developing 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, utilities or energy systems due to the standardization performed by the Data Engine. These use cases, 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 release information on popular tools that many utility professionals use daily. Awesense will demonstrate how these tools can be easily used for building custom analytics, use cases and applications. This series intends to demonstrate that skill level, and specific tool expertise doesn’t play a significant role if someone wants to build on top of The Energy Transition Platform. During this series, the Awesense team will cover spreadsheets, Business Intelligence (BI) tools, data science notebooking tools, ETL tools and others and demonstrate its work on the Awesense Sandbox Development Environment.
Follow along to gather new ideas on what tools you can use with the Awesense Energy Transition Platform to bring your analytical and use case ideas to life. If you or your team are interested in building a custom use case using the Awesense Platform, want more information regarding a particular use case, or have an analytical tool we should demonstrate with our platform, feel free to contact us.
Part 2 – The Energy Transition Platform: Learn to Build Better. Ep. 2 The Low and No Code Future
