Beyond Run to Fail: Redefining Low-Voltage Grid Management
By combining a distributed intelligence (DI) platform with real-time vision technology, the possibilities of using low-voltage grid management are being redefined. In today’s dynamic energy
Category: Grid Analytics
Dynamic Operating Envelopes can Enable DERs in Wholesale Market without Endangering Grid Reliability
Enabling millions of diverse DERs to participate in the wholesale market without deteriorating the reliability of the distribution system by using dynamic operating envelopes. The
How to Handle the Load: Rappahannock Electric Cooperative Utilizes Analytics to Identify System Line Losses and Reduce Costs
Rappahannock Electric Cooperative worked with Burns & McDonnell to simulate load flows in order to develop a digital model that would assist in understanding the
Satellites and Vegetation Management: Lessons from Multiple Grid-Wide Rollouts
The importance of utility vegetation management is growing as weather events become more severe; satellites can help. More utilities are adding satellite analytics to their
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
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 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
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
Automating Utility Pole Recognition & Inspection with Computer Vision
Computer vision offers significant cost savings by way of scalability and automation. The true art of any AI application comes down to how a data