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AI and ML are the Dynamic Duo Powering Up the Future of the Power Generation Sector

Smart algorithms are revolutionizing how utilities predict maintenance needs and optimize renewable energy integration across the grid

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By Jacob Tuttle · · Chargeexpo 2024DecorbonizationJacob TuttlePower Generation
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Smart algorithms are revolutionizing how utilities predict maintenance needs and optimize renewable energy integration across the grid

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The advent of Artificial Intelligence (AI) and Machine Learning (ML) in the power generation sector marks a pivotal shift toward not only enhancing operational efficiency but also significantly contributing to sustainability initiatives. As the global energy landscape evolves, embracing digital innovations has become a strategic imperative for companies aiming to navigate the challenges posed by the integration of renewable energy sources and the pressing need for decarbonization. This transformation is crucial for maintaining competitiveness and achieving substantial reductions in carbon emissions, prompting an industry-wide reevaluation of traditional practices and technologies.

This transformation is crucial for maintaining competitiveness and achieving substantial reductions in carbon emissions, prompting an industry-wide reevaluation of traditional practices and technologies.

How are leading companies leveraging AI and ML to revolutionize power generation and meet the dual goals of efficiency and sustainability?

During ChargeExpo 2024, MarketScale, the official media partner for the show seized the opportunity to explore this topic by engaging with industry experts on the show floor. Among these conversations, a standout discussion between MarketScale’s Gabrielle Bejarano and Jacob Tuttle, the President and CTO of Taber, provided valuable insights into the role of digital technologies in shaping the future of energy production. Tuttle’s experiences and strategies reflect a broader industry trend toward the integration of technology to address the pressing challenges of today’s energy sector.

Key points of discussion included:

  • Taber’s approach to incorporating digital trends, particularly AI and ML, to optimize power generation processes and enhance operational security.
  • Taber’s commitment to leveraging technological advancements to meet the unique needs of each client, emphasizing the importance of innovation in delivering exceptional customer service.
  • Taber’s engagement with emerging technologies, such as computer vision and data analytics, to push the boundaries of product development and operational efficiency.

Jacob Tuttle’s role in guiding Taber through the digital transformation landscape exemplifies the energy sector’s broader movement toward leveraging technology to achieve greater operational efficiency and sustainability. With a deep-rooted background in engineering and a forward-thinking approach to digital innovation, Tuttle’s contributions offer a glimpse into how AI and ML are becoming indispensable tools in the power generation sector in their quest for a more sustainable and efficient future.

AI and ML are becoming indispensable tools in the power generation sector in their quest for a more sustainable and efficient future.

Video TranscriptExpand ↓

Hello, everyone, Gago Bejarano with Market Scale here, and I have the pleasure of sitting right now with Jacob Toddl, and he's actually president and CTO. Thank you so much for joining us. Today? Yeah. Absolutely. Thank you for having me. Sure. So tell us a little bit about yourself and about tabor, how long have y'all been around the space? What areas do you focus on? What's your mission? So to speak? Sure. Yeah. Absolutely. So myself, Jacob tuttle, just like you said, came to own the company and become the CTO element president in two thousand twenty two, since that time, been doing a lot of work and kind of multi industrial. Our bread and butter, our history really has been power generation. Company's been in that space for about eighteen years. But since I came over the helm, so to speak, been really pushing to expand industries. We've done a lot of extra work or additional work. I it's a throughout power generation domestically and internationally, but also seeing some exposure and some opportunities and other streets like steel mills, water, waste water, mining, and just kind of general manufacturing. Very cool. Well, let's talk trends a little bit. What are some of the digital information trends, that you're seeing generally in the industry, but also that, Tabor has been working with that you've seen. Yeah. So there's definitely been more of a less reluctance to incorporate some of these digital trends we've operated for a long time in power generation. And it seems the case being that power and duration, generation isn't always up to speed with a lot of these digital trends. Petro Kim, some of these manufacturing fields have been pretty advanced in embracing some of these things, and it seems that power generation at times is a little bit behind, you know, more reluctance being, you know, kind of critical critical infrastructure. We want to remain safe, remain away from potential vulnerabilities. Let's really starting to change those. These technologies have advanced, they've become more commonplace, more ubiquitous, seem less reluctant to embrace and incorporate them. And that's really been helpful to us because that's one of the kind of foundations of the the systems that we provide is utilizing you know, advanced artificial intelligence and machine learning, vision, computer vision, language processing techniques to logging in the systems that we provide to power generation as well as manufacturing. So having, you know, the industries be more to those types of technologies, just in general, seeing their potential, for, you know, system wide benefits. It's definitely been helpful. Yeah. It's like common place, but almost necessary at this point. So, I mean, just the way that technology has been evolving. And what ways do you feel that tabor really leverages this newer technology to enhance not only supply chain visibility, but also your customer service your customer service offerings, all of that. When we go into a site, we work with the process, you know, we we have a set of objectives, and every side's different. You you have one power plant versus another, they're designed the same there. They're gonna be entirely different. Sometimes one approach of, you know, some digital technique or algorithm or whatever it is. Works really well in this circumstance. It doesn't work as well over here having, again, kind of, that more receptive nature to using those different inches and customizing based on, you know, the characteristics of that process, allows us to deliver a better product and a better solution, meeting those be they in commission rate reduction, process efficiency, product quality enhancement, developing those systems based on what that process is in being able to use all the tools at hand, you know, the cutting edge research, the developments and tech, all those things gets us to that solution faster. Well, it's not an industry discussion, without mentioning AI in particular. So what role do you see AI machine learning play in optimizing tabor operations, but also your customer service offerings, in what ways is AI integrating itself into tabor? Sure. So the core of Tabor since, you know, two thousand and six, and we were founded has involve AI, but it's, you know, we're at light speed, and we're we're increasing in that speed, and the techniques and the approaches we're able to use. So continually adapting new research, new developments, pulling those into the product offerings that we have. You know, again, it it extends what our capabilities are. Be able to visit a client, talk with them about problems that they have solutions that they need and say, you know, there's a new novel technique to address that and approach a, kind of a, an example of that has been computer vision, using cameras, you know, that's been around forever, but being able to take you know, measure an image from a camera, turn that into quantifiable data to say my process is lacking in this area over here. You know, I can see it through my camera. I don't have any sensors there, but I can now use computer vision, image processing techniques to at that, quantify a situation, and then inform a control system to correct for it. You know, that's quality control. It's product enhancement. All of these these things that are, you know, the drivers for the company bringing us in in the first place, use those techniques and those transformations again to just, you know, further improve what we're able to provide. Well, let's talk, product development. Actually, you mentioned your product offerings. I mean, what innovations in in transportation is Tabor currently exploring or planning to implement? What are some of the projects in the future, that you're working on? Yeah. So that's kinda one of honestly, that's the one that's on my mind. Kind of why it comes up is computer vision, been doing a lot of interesting projects there, in, in harsh environments. By boilers for, you know, combustion processes using computer vision. But also looking at how we can use, you know, major data sets, so as the internet, places that have that access. They aren't concerned about cyber security, and the chat, you know, not chat GPT, language processing that's underneath JetGPT. Yeah. Using that to go out, you know, interrogate the wide world that's out there, all the information on subject, bringing that back into a system to better, you know, understand that process without, you know, the years and years of build up and, you know, operator experience and be able to use those types of techniques, reach out, grab, you know, something that the system itself doesn't at home, incorporate that immediately to to learn on its own, bolster itself, become that much more effective, that much faster. Using those types of techniques, again, just the wider accessibility of information. No. Absolutely. And, you know, if, for those who are listening in right now and are interested in computer vision or, wanting to learn more about Tabor, I mean, how will they reach out? What's the best way? So, I mean, our website's a great place to start. That's w w w dot tabor dash I n t l dot com short for internet Tabor International. Yep. And then kind of all the contact informations there. There's contact forms, a lot of great ways there. But then we try to get to a lot of shows I mean, come out to, you know, the trade shows. When's the next show you're gonna be at? I think the next I'm supposed to be, two weeks from now. Actually, it's out in Charlotte. We'll be out there. Okay. Had another show kinda talking about same things. It's more of an industrial show. It'll be specifically power gen. But, you know, we we hit a lot of these around the the continent. So Very cool. Alright. Well, that wraps up today's conversation. So thanks so Jacob. Alright. Thank you. Appreciate it.

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