EPRI Develops AI Model to Reduce Wind Turbine Operations Costs
EPRI has been working with utilities in the United States to digitalize wind assets and develop a physics-based machine-learning hybrid model to identify gearbox damage
Making a Business Case for More Intelligence at the Grid Edge
Grid edge intelligence empowers business transformation, evolves distribution grid operations, enhances customer experience. The future of our modern grid is dependent on leveraging more distributed
Digital Asset Management Strategies Can Address Rising Infrastructure Challenges
A comprehensive digital transformation plan can help asset managers develop data-driven, risk-informed asset management strategies. Disruptive trends in the power sector can complicate transmission and
What is a Data Fabric and How Does it Complement my Data Warehouse?
Connecting DWH to advanced analytics at scale requires a data fabric, not just data availability. For industrial companies, the path to ultimate value from data
Energy Decentralization: Why it’s a Big Deal for Every Business
With energy decentralization evolving into so much more than just an energy trend, nearly every business could have a stake in it. Energy transition, or
How AI Fuels Digital Transformation
AI should fuel digital transformation, not hinder it. The Digital Transformation Landscape As businesses adapt to the rapidly changing competitive landscape, many are pursuing Digital
Consumers Energy Entire Customer Journey — Executive Summary
Consumers Energy presented for UAI’s July Customer Analytics Community Conversation on creating a process of continuous improvement for retail products and services. Consumers Energy recently
How Connected Buildings are Re-energizing the Grid
Flexible energy platforms use artificial intelligence, cloud and blockchain to help manage renewable energy usage. On May 11, the Biden administration approved the Vineyard Wind project, a
Utilities May Be Key in Broadband Expansion to Underserved Areas
As broadband service rolls out to rural America and to other remote and underserved areas, it is increasingly clear that utilities will have important roles
Probabilistic Electricity Consumption Forecasting
Machine learning provides an excellent avenue for predicting future energy consumption. Energy Consumption is Ripe for ML Predictions Matching energy consumption with the appropriate level
