Energy and utility analytics for enterprises
Forecast energy consumption, predict asset failures, and monitor demand trends to optimize energy distribution.
KNIME enables energy & utilities teams to drive efficiencies & maximize output
Combine weather data with other sources to forecast energy consumption.
Predict asset failures and perform preventative maintenance to minimize downtime.
Monitor demand trends to optimize energy distribution and reduce energy fraud for positive environmental impact.
Empowering agile energy and utilities teams with KNIME
Sophisticated analytics, intuitive interface
- Ensure company-wide data fluency for handling the sheer volume of weather data and data from energy devices, so that experts can focus on advanced challenges and domain users can efficiently handle more clear-cut cases and procedures.
- Ensure team collaboration is straightforward and instantaneous with KNIME’s low-code/no-code environment. Enable beginners to navigate the platform easily and data scientists to build advanced models with a visual programming interface and a genAI assistant to guide them.
A single environment for the entire data science lifecycle
- Derive insights from multiple data sources and devices for all aspects of service delivery.
- Use an end-to-end data science environment that not only works with multiple data types for advanced ETL functions, but also provides comprehensive project coverage to enable predictive analytics and deployment in a single place.
- Give teams a single platform to support a project from data-prep to enterprise-wide deployment, all the while enjoying frictionless information exchange.
Extensible and flexible
- Overcome one of the most exacting challenges Energy and Utilities teams face: making sure that any new tool is compatible with the suite of established and specialist systems.
- Provide teams with the most connected data environment possible, with seamless integrations with manifold tools and platforms. Teams can save time by retaining their current stack and set-up, plus they get access to over 300 data sources.
- Give data scientists access to the latest AI/ML techniques including LLMs as well as languages like R, Python, and more with the choice to auto-create scripts with a genAI assistant
Future-proof with open source
- Work with vast amounts of data in real-time and know that tools and systems are effective, reliable, and up-to-date so that energy consumers receive the best product possible.
- Keep up with the constantly evolving data science ecosystem with KNIME’s open source approach. Ensure teams stay on the bleeding edge of modern data science, with groundbreaking features and tools regularly developed and added by the active open-source community.
- Provide teams with access to thousands of pre-built workflows, nodes, and components via the KNIME Community Hub.
Scale as you grow
- Be better prepared for the uncertainty and constant change that comes from both environmental factors, as well as human and political ones. Provide teams with a data science environment, which can match their growth and needs as well as shifting global circumstances.
- Perform any kind of analysis without limitation - from basic data exploration to deploying sophisticated machine learning models as data apps and services.
