TL;DR:
- Avangrid, under Iberdrola, is developing AI systems for network reliability.
- Data Science and Analytics team creates AI models: Predictive Health Analytics, GeoMesh, and HealthAI.
- AI leverages data to forecast grid performance, evaluate equipment conditions, and prioritize inspections.
- Focus on proactive equipment assessment for cost savings and reduced outages.
- Iberdrola’s rapid growth in North American electricity sector with a significant renewable energy portfolio.
- Avangrid’s ESG commitment is recognized with FTSE4Good index inclusion.
Main AI News:
In a pioneering move aimed at elevating network reliability and ensuring uncompromising quality standards, Iberdrola’s US subsidiary, Avangrid, has embarked on a groundbreaking journey. This venture involves the establishment of a proficient Data Science and Analysis team tasked with conceiving and refining ingenious, patented Artificial Intelligence (AI) systems. These cutting-edge systems are meticulously designed to revolutionize network operations and herald a new era of excellence. The eventual integration of these machine learning models will trigger a paradigm shift, influencing Avangrid’s approach to network investments, equipment enhancements, storm prediction, and various other critical aspects.
At the helm of this transformative endeavor is Avangrid’s novel Data Science and Analytics squad, comprised of seven adept professionals hailing from diverse and prestigious sectors such as healthcare, astrophysics, and finance. This amalgamation of expertise and talent is channeling its energies towards the creation of three distinct AI marvels: Predictive Health Analytics, GeoMesh, and HealthAI.
The bedrock of each of these innovations lies in their capacity to harness existing data gleaned from Avangrid’s extensive power grid networks. Through comprehensive analysis, they forecast the forthcoming performance of these grids, assess the condition of grid equipment, and strategically earmark locations that warrant meticulous inspections and strategic investments. The ultimate outcome of these endeavors is a heightened standard of service delivery, catering to the 2.31 million electric customers affiliated with Avangrid’s esteemed subsidiaries, namely Central Maine Power, New York State Electric & Gas, Rochester Gas and Electric, and United Illuminating.
This initiative champions a proactive stance in evaluating substation equipment’s health, leveraging data to prioritize scheduled replacements and upgrades. The conventional modus operandi often involves equipment replacement based on factors like age or functionality disruptions. However, the Predictive Health Analytics system is primed to defy tradition by adopting a proactive, data-centric methodology. By weighing an array of variables—including age, usage frequency, manufacturer specifications, and maintenance notifications—the system efficiently assesses equipment health and proactively identifies potential risks. This approach not only averts impending outages but also leads to substantial cost savings for Avangrid.
Pedro Azagra, Avangrid’s CEO, expounds on this groundbreaking pursuit: “We are redefining the scope of possibilities for utility companies through the lens of data science and analysis. Our journey thus far has often involved collaborations with external entities to assimilate such transformative technologies. Today, we possess the internal prowess to engineer machine learning models that shall soon be emblematic of Avangrid’s capabilities. Furthermore, in harmony with our association with the Iberdrola Group, we’re tapping into a global reservoir of experience and expertise. This strategic ownership of AI systems will empower us to relentlessly enhance efficiency while simultaneously containing costs.”
Over the span of merely two decades, Iberdrola has rapidly ascended to eminence within the North American electricity sector, solidifying its presence with a listing on the New York Stock Exchange in 2015. Headquartered in Orange, Connecticut, boasting assets nearing $40 billion, Iberdrola operates across 24 states. The company deftly manages an installed capacity of approximately 10,000 MW, a substantial portion of which comprises renewable sources such as wind and solar photovoltaic. Impressively, it also presides over a staggering 130,000 kilometers of power lines, facilitating its services through eight distributors spanning New York, Connecticut, Maine, and Massachusetts. With a populace of 10 million beneficiaries, Iberdrola’s impact is both profound and far-reaching.
Undoubtedly, Iberdrola’s pursuit extends beyond sheer magnitude—it’s a testament to their commitment to sustainable growth. With a burgeoning portfolio encompassing more than 25,000 MW of high-quality renewable projects across the United States, Iberdrola plays a pivotal role in steering the nation toward its decarbonization objectives. As the country galvanizes its efforts to meet these goals, these projects stand as steadfast pillars, anchoring Iberdrola’s journey of perpetual expansion.
Conclusion:
Avangrid’s strategic integration of AI systems marks a significant leap in elevating network reliability within the energy sector. By harnessing predictive analytics and proactive maintenance, the company not only enhances customer service but also paves the way for cost-effective operations and sustainable growth. This initiative underscores the industry’s dynamic shift toward data-driven solutions, with broader implications for how companies navigate evolving market demands.
