Check out this upcoming webinar by Hendrix: Revolutionizing Grid Reliability: Aerial Covered Conductors in Modern Power Transmission for Enhanced Resiliency, Economics and Sustainability https://lnkd.in/gtVXBPmU
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How did the various S&P sectors perform throughout the tenures of Trump and Biden?📈 The answers might surprise you. 🚀 Unlock our treasure trove of 300m+ timeseries from 2000+ sources and our analytical charting tool to supercharge your timeseries analysis for top-down research! #uselections #energy #informationtechnology #equities #macro #research #trump #biden
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Can you spot SLAC? 🔍 Take a tour of the U.S. Department of Energy (DOE)'s 17 national laboratories with this interactive map, and learn what makes each one unique. https://bit.ly/4fdNDu7
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In the latest issue of ICN, NCTI, Inc.'s Jeff Gibson explains the goal of its ‘Getting Them Home Safely’ course and how it goes into the science behind electricity. Read the full article - https://lnkd.in/g4Rm6xAX
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Dear Connections, We have recently published some papers at the North American Power Symposium 2024! These works delve into cutting-edge topics like genetic algorithm-based unit commitment, reliability, resilience, and the use of Real-Time Digital Simulation (RTDS) in advancing power systems. Our research provides insights into optimizing power system operations, enhancing grid resilience, and leveraging simulation tools like RTDS to address real-world challenges in the energy sector. We hope these findings inspire further discussions and innovations in power system reliability and resilience. Acknowledgement: Joydeep Mitra, Mohammed Ben-Idris, Kalyanmoy Deb, Josue Sánchez Samaniego, Alaaeldein Abdelkader Feel free to explore our work through the link provided! 1. A Multi-Objective Unit Commitment Approach Using Genetic Algorithms (https://lnkd.in/gw24HsXG) 2. Impact Assessment of Wear-Out Failures in Residential PV Systems (https://lnkd.in/g6xKPgaN) 3. Evaluating Voltage and Frequency Profile of Grid During Extreme Event Using RTDS (https://lnkd.in/gQfQPM3Z)
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This infographic represents the figures in our recently published study: Carbon Impact of Intra-Regional Transmission Congestion. The study illustrates the complexities of modern grid transmission systems and their impact on the efficacy of carbon policy under real-world conditions. You can read the full study, a white paper version of it, or a two-page executive summary: https://lnkd.in/eic-2Fb7.
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Artificial intelligence computing’s significant energy demands have caused the power and utilities industry to reassess electricity demand projections and the resources required to fulfill future economic growth. Learn more from Franklin Equity Group: https://lnkd.in/g64w6jf5.
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4myStudents 🎓: 《Weather- and climate-driven power supply and demand time series for power and energy system analyses》 👁👁 ⬇️ 🗂 Nature https://lnkd.in/gyBcBErJ [ 🔗PDF https://lnkd.in/gXfHeqM8 /Antonini, E.G.A., Di Bella, A., Savelli, I. et al. via Nature https://lnkd.in/g4baKqBP ] ___ /BSinEDU /RSIF /SEIHLE
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Hope you can join! If not in person, there's a virtual option. Learn more about the role of removals to counterbalance residual emissions as we progress along the path to net zero! University of Pennsylvania
Join LLNL scientists, university experts and DOE leaders on Wednesday, September 18 for a public symposium hosted by the University of Pennsylvania's Kleinman Center for Energy Policy to examine the opportunities and challenges associated with developing localized CO2 removal initiatives. Speakers include Marina Sofos, Noah Deich, Rory Jacobson and Robert Schrecengost, P. E. from the U.S. Department of Energy (DOE), University of Pennsylvania's Jennifer Wilcox and report authors Jennifer Pett-Ridge, Kimberley Mayfield, Ph.D. and Allegra Mayer from Lawrence Livermore National Laboratory. Register Today: https://lnkd.in/g4DhcvUJ
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Searching for location specific, ensemble-based precipitation forecasting? By averaging a collection of high resolution gridded forecasts, including highly acclaimed models like ECMWF and UKMO, Flux Forecast provides up to seven days of forecasting for locations across North America. The ensemble average and the individual ensemble member forecasts are available for each location’s forecast, allowing operators to evaluate the uncertainty of the forecast and respond proactively. Learn about Flux Forecast's ensemble-based forecasting and more through our latest article! https://lnkd.in/gjEPsAhm
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