RACE for 2030’s Post

Research Update!! I’m excited to share a recent research update. Working in the Data Analyticcs and Intelligent Systems Lab at UBC, I have developed a new solution for utility grids. “eGrid," harnesses the power of 5G technology and AI to transform utility grids into intelligent, eco-friendly systems. This research project aims to address key challenges faced by utility system operators, managers, service providers, and users. With real-time energy optimization, reduced greenhouse gas emissions, and lower operating costs, this research is intention is to give utilities and cities new tools for achieving climate goals and sustainable energy solutions. Key Objectives: -Design a digital solution for utility grids that goes beyond smart grid capabilities. -Examine the potential of 5G for system optimization If you’re an executive or senior leader in a utility transmission and distribution company, please reach out. In designing next generation technology, discovery is key. Im always looking to discover practical solutions that will work for the future. Stay tuned for more updates. Bhushan Gopaluni #ResearchInnovation #AI #Sustainability #UtilityGrids #5GTechnology

AI is a polarising technology that holds the power to accelerate both good and bad change exponentially. However, regarding sustainability, it’s imperative that public messaging stresses AI’s positive potential rather than inflaming anxieties - 52% of US adults say they’re more worried than excited about AI’s role in daily life. Energy regulation initiatives, such as developing neuromorphic chip architectures, potentially reducing energy consumption a thousand-fold, and repurposing waste heat to warm residential areas, must be encouraged and publicised. Improved trust and transparency will be key in gaining widespread support, aiding leaders in massive gains for sustainability and technology. “To realise AI’s potential for sustainable value creation requires building confidence, taking a holistic approach and augmenting people's potential.” #AI #sustainability #technology

Every company betting that artificial intelligence will transform how we work and live has a big—and growing—problem: AI is inherently ravenous for electricity. Some experts project that global electricity consumption for AI systems could soon require adding the equivalent of a small country’s worth of power generation to our planet. That demand comes as the world is trying to electrify as much as possible and decarbonize how that power is generated in the face of climate change. The experts that Christopher Mims talked to agreed on this point: The main reason AI continues to require more power, even when more efficiency is possible, is that right now, the incentive for everyone in the industry is to continue building bigger, more powerful models. 📰 https://lnkd.in/gvZC6bRx 💡 WattSmart Innovations, Inc can help businesses monitor, control, and optimize energy usage across various operations. This not only reduces unnecessary expenditure but also aligns with global sustainability goals, enhancing corporate reputation and compliance with regulations. Invest in energy efficiency today and witness the ripple effects on your financial health and environmental footprint. It's not just good for business; it's essential for our planet. 🌱✨ https://lnkd.in/gJVcgqtb [email protected] #EnergyManagement #Sustainability #BusinessEfficiency #CostSavings #EnergyEfficiency #EnergyInnovations #Eniscope #Minneapolis #StPaul #MinneapolisBusiness #TwinCitiesBusiness #Innovations #RestaurantEnergy #EducationEnergy #ManufacturingEnergy #HospitalityEnergy https://lnkd.in/gvZC6bRx

The challenge is to balance the progression of AI with the imperatives of sustainability and associated energy needs.

Massachusetts Institute of Technology's Laboratory for Information and Decision Systems (LIDS) has been awarded a $1.365M grant by the Appalachian Regional Commission for the Smart Grid Deployment Consortium (SGDC) project. This initiative, in collaboration with Tennessee Technological University and regional partners, focuses on using AI for smart grid modeling in rural areas. The project aims to develop AI models that will improve grid management and support the adoption of new energy technologies. https://lnkd.in/eibFkpcC #MIT #LIDS #SmartGrid #AI #SustainableEnergy

Coming to the 4th workshop of the SUSTAINABLE ENERGY ACCELERATOR Program, I learned soo much about the importance and purpose of two essentials tools for the optimization of existing power generation technologies. The integration of Machine Learning(ML) and Artificial Intelligence (AI) is the paramount in our quest for a greener, more efficient energy landscape. These cutting-edged technologies are transforming the way we monitor, control and optimize the generation, distribution and consumption of both renewable and conventional energy sources. By leveraging the predictive capabilities of AI and pattern-recognition prowess of machine learning, we can unlock unprecedented insights into energy systems. This fusion of renewable energy and conventional sources, guided by the intelligence of AI, allows us to create hybrid systems that are more resilience, adaptive and responsive to evolving energy demands. The transformative power of AI and machine learning will be our guiding light, illuminating the path towards a clearner, more sustainable energy-powered world. Join us in embracing this technological revolution and be part of the solution that shapes a brighter, more energy-efficient future for generations to come. #SEAIMPACT #ENERGYTRANSITION #AI #MachineLearning

The Department of Energy (DOE) is prioritizing energy consumption for artificial intelligence (AI) technologies as a critical mission area. Helena Fu, director of the Office of Critical and Emerging Technologies, highlighted the rising energy demands from AI and machine learning (ML) systems at an Axios forum. Fu emphasized the opportunity to advance clean firm power, which doesn't rely on weather conditions like solar and wind, through industry partnerships. The increased energy demand is due to various factors, including data centers, electrification, and the resurgence of manufacturing in the U.S., making this a pivotal moment to align data center demands with clean energy commitments. The DOE is actively addressing the energy challenges posed by AI through initiatives like the Frontiers in Artificial Intelligence for Science, Security, and Technology program. Energy Secretary Jennifer Granholm has also directed an advisory board to investigate future tech-driven energy demands. One promising solution comes from the DOE’s Exascale Computing Project, which aims to develop energy-efficient AI computation systems through successful public-private partnerships. Despite the anticipated energy needs, Fu believes that AI will significantly benefit scientific discovery across various disciplines, leveraging the expertise at national labs to develop powerful models in partnership with industry and academia. #artificialintelligence #machinelearning #cleanenergy #datacenters #energyconsumption #sustainability #DOE #energyefficiency #publicprivatepartnerships #scientificdiscovery Source- https://lnkd.in/g7taYCjs

AI in Energy Management: Optimizing Efficiency and Reducing Waste ⚡ Artificial intelligence and machine learning are transforming the landscape of energy management. These technologies enable predictive maintenance, allowing for early detection of equipment issues before they lead to failures, thus reducing downtime and repair costs. Demand response systems use AI to balance energy supply and demand in real-time, improving grid stability. Additionally, energy consumption forecasting powered by machine learning helps predict future energy needs, enabling more efficient energy distribution. These advancements contribute to smarter grids, reduced energy waste, and a more sustainable energy future. #AI #EnergyManagement #Sustainability

In today's energy landscape, the integration of AI and advanced analytics is revolutionizing the way we produce, distribute, and consume energy. By leveraging sophisticated algorithms and data analysis techniques, the energy sector can optimize efficiency, reduce costs, and minimize environmental impact. Predictive analytics allows for proactive maintenance of energy infrastructure, ensuring reliability and uptime. Real-time monitoring enables dynamic adjustments to energy distribution, maximizing resource utilization and grid stability. With AI-driven demand forecasting, energy providers can anticipate consumer needs and adjust supply accordingly, leading to more efficient resource allocation. As we continue to explore the potential of AI and advanced analytics, the possibilities for innovation in the energy sector are limitless. Cadran Technologies provides tailored solutions for efficiency and sustainability, shaping the future of energy. #AI #AdvancedAnalytics #EnergySector #Innovation #Sustainability #FutureofEnergy #CadranTechnologies

🌏 Conventional 𝗺𝗶𝗰𝗿𝗼𝗴𝗿𝗶𝗱 𝗺𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 approaches are encountering unprecedented challenges in a time when #environmental issues are escalating and #energy needs are increasing. Artificial intelligence (#AI) solutions have become a driving force in addressing this use case. AI-powered microgrids can reduce energy consumption 𝗯𝘆 𝘂𝗽 𝘁𝗼 𝟮𝟬% through optimized energy generation, distribution, and demand response. (Source: McKinsey). 👉 This article explores how intelligent technology can solve energy #distribution, #resilience, and #sustainability issues. It also looks at why AI is being integrated into microgrid management: https://lnkd.in/e_QiyM_V  #RealWorldAI #Innovation #datascience #enterpriseai #ScalingAI #dataplatform #aigovernance #mlops #aiplatform #AICloud