Digital technologies for grid and energy management
The Energy and Utilities sector needs digital technologies to improve grid assets management and to involve end customers in energy-efficiency initiatives.
Utilities can leverage AI and Industrial IoT to boost their operational efficiency and increase competitive edge; enabling accurate forecasting, benchmarking, and engaging end-users in demand-response optimizations to meet utilities’ and customers’ energy-efficiency goals.
Needs
In recent years, we’ve witnessed an increasing involvement of Utilities in the Smart City initiative: governments’ policies and EU programs foster the adoption of digital technologies to reduce greenhouse gas emissions, increase the use of renewable energy, or improve energy efficiency.
As city populations grow, the demand for services and pressure on energy resources will increase. This demand puts a strain on energy and any other services that would be essential to a city’s prosperity and sustainability. Digital transformation is key to achieve an interoperable and resilient smart city ecosystem.
FlairBit
Solutions
enseioty applications in the energy sector are many: predicting and analyzing asset failures across generation, transmission, and distribution systems; enabling accurate forecasting; building optimization and demand-response analysis.
Digital technologies are applied to integrate different aspects of the energy sector to analyze streaming data across IoT (Internet of Things) sensors, SCADA, building and asset management systems and micro-grids.
Senseioty creates a common data model for disparate energy management data sources and through artificial intelligence, Big Data Analytics and Industrial IoT digital technology, provides a comprehensive framework to make energy expenditure values visible, suggest demand-response optimizations, and help customers secure energy-efficiency goals.
We work in the Energy sector in different countries: Ireland, Italy and Spain
Customer
feedback
“Our partnership with FlairBit is strategic to the success of our project: FlairBit industrial IoT and machine learning skills allow us to catch essential information in order to meet energy efficiency goals. What we are seeing is the perfect match of different digital technologies for Energy Management: automated data ingestion, robust data semantics, Artificial Intelligence, Internet and Mobile”
Delivering experience
Use case
Digital Industry: best practices to improve operational efficiency
How to improve operations through IoT and AI? Discover Senseioty use cases in different sectors: Machinery & Equipment, Life Science & Healthcare, Safety & Security, Manufacturing & Shopfloor, Energy.
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