Zondits Interview: EV Adoption Forecasting – How’s That Done?
Zondits speaks with a forecasting specialist about modeling EV adoption to optimize infrastructure deployment. Walter Schaefer is a Senior Engineer at DNV with eight years
Category: Grid Analytics
Using Machine Learning to Improve Vegetation Management in Power Line Corridors
Vegetation management often represents a utility’s largest operations and maintenance cost, and with good reason. Trees are a leading cause of U.S. electricity outages. Controlling
Sensor Data, AI and Advanced Analytics Help Utilities Predict and Mitigate Equipment Failures Before Service Interruptions Occur
Equipment failures cost utilities millions annually – and each year, they are the root cause of nearly one third of customer interruptions. These outages not
Get Schooled on the Viability of Two-Way Vehicle to Grid Energy Storage
In the Greater Boston area, electric school buses are doing more than taking students to and from school. Energy stored in the buses’ batteries is
Making Predictive Maintenance Economically Viable for Overhead Distribution Infrastructure
I live in Marietta, Georgia, a suburb of Atlanta, and while we are not in the city proper, the neighborhoods are still densely packed. Power
Electrification Load Forecasting
Abstract As new trends emerge in the ever-evolving electrification environment, electric utility operators need to adapt their distribution networks to account for the new supply
Helping Utilities Anticipate EV Charging Loads Through Operational Analytics
Anticipated growth of electric vehicle (EV) sales in the U.S. over the next several years will have a great impact on the nation’s existing infrastructure
Sensor Data, Artificial Intelligence and Advanced Analytics Help Utilities Predict and Mitigate Equipment Failures Before Service Interruptions Occur
Equipment failures cost utilities millions of dollars annually. And each year, they are the root cause of nearly one-third of customer interruptions. These outages not
Semantic Modeling for your Data Architecture to Reduce Cost of Analytics
What we see with our clients are that they want to gain more business value from their data. However, the initial direction they take make
Geospatial Identification of Disadvantaged Communities – A Decision Support Strategy
One of the most common questions utility clients ask is, “How can we identify our disadvantaged customers and tailor our services to meet their unique
