Quality
By predicting energy production and usage patterns, predictive models help grid operators manage supply and demand better.
The opportunity
The rise of distributed energy resources like solar, storage, and EVs is reshaping grid dynamics. This shift demands advanced utility technology solutions to manage complexity in visibility, control and load balancing
How DXC helps
DXC helps clients implement distributed energy management systems, IoT-enabled grid intelligence, and AI-driven forecasting to monitor, optimize, and coordinate in real time.
Services provider realizes 50% reduction in development costs, increased performance and 24x7 availability with AWS cloud environment and DXC’s PaaS for SAP solution.
Bayernwerk Netz GmbH turns AI MVPs into scalable, efficient and accurate solutions with DXC’s MLOps, saving thousands of euros annually. It's driving the digitization of energy networks with the NEXT.SwitchON IT solution for the utilities sector.
New Jersey’s largest diversified energy company implements single integrated HR and Payroll transformation resulting in improved user experience, improved security and reduced operating costs.
Quality
Built-in and external strengths
Complex projects at global scale
Bespoke engineering and data-driven outcomes
Find out how DXC can help you
Digitally manage distributed energy assets on smart grids.
By predicting energy production and usage patterns, predictive models help grid operators manage supply and demand better.
AI plays a crucial role in optimizing energy management. It analyzes large amounts of data to boost efficiency, predict energy demand, and support the seamless integration of renewable energy sources solar and wind into the power grid.
Among the many software solutions for the utility industry, AI-powered systems can optimize energy production and make informed decisions based on real-time insights. This leads to cost savings, as well as reduces greenhouse gas emissions and improves grid reliability.
Utilities can use AI and machine learning to forecast demand. They can apply algorithms to predict energy use patterns accurately. This enables more efficient resource management and reduces waste.
AI can help utilities predict supply and demand in real-time. It can also improve load distribution and plan better energy efficiency programs.
Utilities companies can improve customer experience by using several IT strategies. They can create easy-to-use digital platforms for account access, usage tracking and bill payments. Using data analytics to personalize services is important.
Providing real-time information about outages and energy-saving tips helps too. AI-powered chatbots can resolve issues before they become problems. These are all effective strategies. Additionally, establishing feedback channels and offering resources on energy efficiency can improve customer satisfaction and loyalty.