AI-Powered Energy AnalyticsIs your utility capitalizing on the power of AI for predictive operational and customer energy consumption analytics?
To complement and enhance our expertise in utility analytics and customer experience solutions, Util-Assist has invested in Grid4C, a worldwide leader in artificial intelligence (AI) and machine learning solutions for the energy industry. Util-Assist’s vision is to be a trusted partner in driving digital innovation for utilities, and Grid4C’s innovative solutions are a key element of that vision.
Did you know that 15 to 20 percent of homes have faulty or inefficient home appliances? With Grid4C, you’ll be able to advise your customers, just by analyzing smart meter data. Are you able to predict load at the appliance, transformer or territory level? Grid4C’s algorithms forecast future load growth at any level.
The solution’s AI-driven predictive insights position your utility to increase customer value, generate new revenue streams, and streamline operations while maximizing profit. Grid4C’s award-winning AI algorithms are now also available at the grid edge, embedded in smart meters, enabling new types of customer choice, communication, and control.
Enhancing the Customer Experience
Customers’ expectations of utilities have changed dramatically in the last ten years. Today’s utility customers expect more than just reliable electricity and they are increasingly more proactive, demanding choice and expecting personalized services. Utilities are examining how to re-position themselves and stay relevant in a future.
- Satisfying higher customer expectations and improving the customer experience
- Enabling customers to engage with their own data and understand how their energy use habits affect their bills
- Identifying faulty/inefficient appliances to prevent appliance breakdown
- Enabling customers to save on their bills
- Leveraging customers’ investments in connected home appliances and devices
The Solution: Predictive Home Advisor
Grid4C’s Predictive Home Advisor solution empowers consumers with insights and tools to make informed decisions about their energy usage and products. Timely insights help customers prevent future problems and save money, maximizing the value for both customers and electricity providers.
Disaggregate load by appliance
Detect, diagnose and predict appliance anomalies
Forecast usage and costs
Communicate via chatbots and voice integration
Optimize smart thermostats
Deliver insights based on time of use
Deliver usage insights to mobile devices
Driving Operational Excellence
While efficiency and cost reductions have always been top concerns, utilities today are facing a host of new challenges related to new energy sources, new competitors, and new volumes of data.
Some of the challenges which utilities face include:
- Leveraging the value of smart grid investments
- Balancing supply and demand and shifting peak demand
- Meeting government conservation and efficiency targets
- Maximizing demand response and optimizing distributed energy resources
- Optimizing grid assets
- Reducing costs:
- Cost to serve
- Operational costs
- Call centre costs
The Solution: Predictive Operational Analytics
The Predictive Operational Analytics solution uses advanced machine learning capabilities to enable utilities to optimize profits, forecast for future load growth and predict failures of grid assets. Utilities can make informed forecasts on grid load during peak and overnight hours by extracting data from smart devices to identify EV loads within customer consumption profiles.
Interested in exploring how AI-powered analytics can empower your utility to be better prepared for fluctuations in customer demand? We would be happy to demonstrate how Grid4C’s advanced technology delivers outstanding results, and enables utilities to:
Research and forecast loads
Simulate and forecast demand response
Forecast and optimize distributed energy resources
Forecast solar power usage
Identify new EVs to predict grid load
Pushing AMI Intelligence to the Edge
Grid4C’s award-winning AI algorithms are now available at the grid edge, embedded in smart meters. This includes predictive load disaggregation, DER load forecasting and optimization, home appliance fault prediction, grid asset diagnostics, and more. With real-time (often sub-second) data streams being captured on the device itself, the next generation of innovation is a reality, enabling new types of customer choice, communication, and control.