Uses of AI in Utilities and Energy Industry

The energy and utilities industry is on the brink of a revolution, thanks to the immense potential of artificial intelligence (AI). With AI, utilities can unlock new avenues for efficiency, reliability, and sustainability.

Before, a single company could generate electricity for an entire city. Electricity usage and the way it was captured and distributed was less volatile than it is today. However, current ecological standards as well as the more difficult forecasting models of energy consumption make managing that equation more difficult. 

It is precisely there, in that challenge of understanding energy required vs. energy capture that artificial intelligence and emerging technologies have a vital role to play. Imagine a future where the operation of the grid is optimized to minimize energy waste and improve asset management with a self-functioning technology that doesn’t add more friction to your workflows. These new technologies and a more responsive and thorough understanding of energy needs can help organizations undergo significant cost savings for utilities while also becoming more sustainable. 

Beyond the industry, managing your customers also has become a much more complex and nuanced process. There are multiple energy alternatives such as solar panels and electric cars, and in general a more concerned and educated consumer that understands there are plenty of energy options to consider. 

While there are challenges to address, the benefits of AI in the utility industry far outweigh the risks.

Benefits of AI for Utilities

Artificial intelligence is changing the way we live. When it comes to utilities, it has a role to play that can improve our quality of life, help organizations make the most of their operations and processes, and also reduce their environmental impact. 

Improved Efficiency

AI can optimize the operation of the grid, reduce energy waste, and improve asset management. In other words, some of the issues of being unable to calculate and adapt the balance between energy required vs. energy produced can be optimized with AI technologies. This implementation of emerging technologies can also be extrapolated to real-time human-based work done in tandem to ensure standards are met but in a flexible way in which you prioritize efficiency. As you can probably imagine, Implementing AI in the utilities sector can be an investment at first, but it will undoubtedly lead to significant cost savings in the future. 

Increased Reliability

AI can predict and prevent outages, improve grid security, and manage demand response programs. This can help to improve the reliability of the grid and ensure that customers have a reliable supply of electricity. Also, it will help you prioritize how to respond in a way that is quick, integrated with your workforce schedules and objectives, and ultimately leads to both more reliable service and uninterrupted gains for your organization. 

Enhanced Sustainability

AI can optimize the use of renewable energy, reduce emissions, and improve energy efficiency. This can help utilities to meet their sustainability goals and reduce their environmental impact. How? By quickly measuring and adapting operations in real-time ways that help you meet energy needs and energy production without compromising green responsibilities in your organization. 

Improved Customer Service 

AI solutions like Mosaicx automate tasks, such as answering questions and resolving complaints. This can free up customer service representatives to focus on more complex issues and provide customers with a better experience.

Challenges of Using AI in Utility and energy companies

Of course, there are also some challenges associated with using artificial intelligence in the energy and utilities industry. These challenges include:

Data Privacy 

AI systems need to be trained on large amounts of data, which raises concerns about data privacy. However, the vast amount of data you have from your customers can be optimized and used in ways that both protect their privacy and help you better understand and anticipate their needs. 

Bias 

AI systems can be biased, leading to unfair treatment of customers or employees. But, as with any technology, it is essential to have human oversight over the potential downsides of implementing AI to prevent these issues from happening. Beyond that, you can also train your systems to reduce bias issues, perhaps not entirely, but significantly enough for it not to be a challenge but more of an area where human supervision is required to ensure standards are met. 

Job Displacement 

As with all industries, AI could displace some jobs. The flip side is that just as it will likely erode some jobs, there is endless potential for new disciplines and professional routes for individuals using AI. When talking about customer service AI, a tool like Mosaicx is designed to work alongside human agents, not replace them. Technologies are essential because they serve humans, not because they add more friction to our living standards. 

Despite these challenges, the benefits of using AI in the utility industry outweigh the risks. AI has the potential to transform the industry and make it more efficient, reliable, and sustainable.

Uses of AI in the Energy and Utilities Industry

Because of the benefits, the energy and utilities industry is rapidly adopting AI to improve operations, reduce costs, and enhance customer service. AI has the potential to transform many aspects of the utilities and energy sector by analyzing huge amounts of data, automating processes, and leveraging machine learning algorithms.

Here are some of the key ways AI is being used in the energy and utilities industry today.

Optimizing Energy Generation and Distribution

One major use of AI is to optimize energy generation, transmission, and distribution. Utility companies are using AI to forecast energy demand more accurately based on historical data, weather patterns, and other factors. With better demand forecasting, energy companies can improve resource planning and grid reliability.

Adjust Renewable Energy Production

AI is also being applied to optimize renewable energy production from solar and wind farms. Machine learning algorithms can help control and adjust renewable assets to maximize generation under different conditions. Furthermore, AI can detect faults and anomalies in transmission lines to improve maintenance and avert outages.

Enhancing Operational Efficiency

AI tools are helping energy companies become more efficient in their operations and maintenance. Power plants are complex facilities with millions of data points. AI can analyze sensor data from plant equipment to spot inefficiencies, predict maintenance needs, and reduce unplanned downtime.

Manage Workforce Operations

Utility companies are also applying AI to streamline field workforce operations. Machine learning can optimize technician routes and schedules to improve response times and asset maintenance. In addition, computer vision and drones empower utilities to inspect remote assets and infrastructure.

Smart Grid Management

The smart grid powered by AI promises to revolutionize power distribution. AI algorithms can analyze data from smart meters and internet-connected devices to understand electricity demand in real-time. Utilities can then automatically balance the load on the grid and reroute power to where it's needed most.

Detect Issues

AI tools can also detect anomalies in smart grid data that may indicate technical issues, cybersecurity breaches, or power theft. The integration of AI enhances the resilience and efficiency of smart power grids.

Where to Begin with Utilities AI: Customer Service

It may be worth giving special attention to how AI is transforming customer service in the utilities and energy industry. Customer satisfaction is a key metric for these companies, and intelligent virtual agents (IVA) have changed the game regarding customer experience. It can be an introductory way for your organization to start incorporating artificial intelligence into your operations and experience its benefits while building more trust and recognition with your customers. 

• Automation: Many energy companies use IVR to handle customer inquiries without human agents. IVAs are replacing this outdated, frustrating technology. Customers can get 24/7 instant responses to their questions on billing, payments, outages, etc. Natural language processing enables chatbots to understand customer questions and provide accurate answers.
• Intelligent assistance: Voice-enabled assistants like Alexa or Google Home have made customers used to getting information on demand. IVAs provide this same kind of experience, letting customers request their account balance, payment due date, and other details through voice commands.
• Recommendation engines: AI algorithms can analyze customer data to provide personalized recommendations on energy plans, cost-saving programs, and other offerings. This improves customer satisfaction and retention.
• Sentiment analysis: Utilities apply sentiment analysis AI to customer surveys, text interactions, and call transcripts. This gives them insights into customer pain points so they can address issues proactively.
• Predictive analytics: By identifying usage patterns, AI can predict which customers are at risk of leaving so utilities can take preventive measures. AI also helps forecast extra demand during peak seasons.
• Process automation: AI streamlines customer-facing processes like new service connections, billing, meter-reading, and outage detection. This boosts efficiency and improves customer experience.

The application of AI in customer service is enabling utilities to serve customers 24/7, enhance engagement, and increase satisfaction. As AI capabilities continue to evolve, utilities can deliver more personalized, predictive, and seamless customer experiences.

Transform Your Utility and Energy Operations With AI

The energy and utilities industry is poised for major disruption by artificial intelligence technologies. The application of machine learning, computer vision, natural language processing, and other AI capabilities can optimize generation, transmission, and distribution while enhancing efficiency across operations.

As utilities continue to digitize their infrastructure and operations, they will unlock tremendous value from AI adoption. In the coming years, AI will be instrumental in building the smart grid, integrating renewable energy, creating self-healing distribution networks, and delivering intelligent customer experiences.

Consider a Mosaicx IVA to improve your customer experience. The future of customer service in the utilities industry will undoubtedly be powered by AI, including the rapidly developing concept of generative AI. To discover more, read about these examples of generative AI in customer service.