☀️ Smarter #SolarForecasting is here—with the power of Agentic #AI. A new study in @IEEEAccess proposes a novel framework using optimized sequential #AgenticAI-guided trainable hybrid activation functions to improve prediction accuracy. 🔗 loom.ly/6wPLOLE

Today, 5pm CT!☀️Join @ASES_Solar for a Resource Applications Webinar on Foundation Models for Power & Energy Forecasting.⚡It's not too late to register! ➡️ases-org.zoom.us/webinar/reg… (Description in comments) #solar #SolarEnergy #GridForecasting #SolarForecasting #SolarAI #ASES

Introducing the Solar Obstacle Detector (SOD) to Ensure Solar Data Quality! We’re currently developing the Solar Obstacle Detector (SOD), a new addition to our Quality of Data (QoD) mechanism. By comparing theoretical and observed solar irradiance, SOD will help identify obstacles that could interfere with accurate solar energy measurements. This will ensure that stations are correctly deployed, leading to better data and insights. Why it matters: - Accurate irradiance data is essential for solar panel performance and picking the best locations for solar farms. - More data means better forecasts—a critical factor for the energy market. Ready to improve your solar energy operations? Access our solar data. #SolarEnergy #SolarData #DataAccuracy #CleanEnergy #SolarForecasting #EnergyData

#ICYMI: NYPA, @EPRInews & other research partners have completed a study on advanced #solarforecasting, improving generation prediction & supporting grid reliability in #NYS. These findings have the potential to benefit other states & countries too. energytech.com/renewables/ar…

📢@NVIDIAGTC, March 22, 2023, 1:00 PM - 1:25 PM CET Don’t miss our session presenting our latest research on Short-term Solar Energy Forecasting based on Diffusion Models in collaboration with @wandb. 👉 To register: nvidia.com/gtc/session-catal… #solarforecasting #GTC23

Week-ahead solar irradiance forecasting with deep sequence learning @SinhaSaumya, Bri-Mathias Hodge & Claire Monteleoni → doi.org/10.1017/eds.2022.20 #SolarEnergy #SolarIrradiance #RenewableEnergy #UncertaintyEstimation #SolarForecasting #MachineLearning #SolarPower #DeepLearning

The $600K American-Made #NetLoadForecasting Prize will help accurately predict future energy supply & demand to keep our grid stable. One @ENERGY project is already innovating solutions when it comes to managing the grid’s energy mix: energy.gov/eere/articles/eer… #SolarForecasting

Matt Motoki from Aiea, Hawaii is a runner-up for the #SolarForecasting Prize. The team developed an advanced machine learning technique for probabilistic forecasts that allowed for greater accuracy & to run faster than other approaches. Learn more: bit.ly/3Lgksro

The Leaptran Team from San Antonio, TX, one of the #SolarForecasting Prize winners, used crowd-sourced weather data & algorithms to achieve intra-day and days-ahead #solar #forecasting. Learn more about their plan: bit.ly/3Lgksro

Congratulations to our next #SolarForecasting Prize winner! The WenYuan Tang Team from Apex, NC, developed a simple yet effective #solar #forecasting method to provide a comprehensive tool for both forecasting & grid optimization. Learn more: bit.ly/3Lgksro

The next winner of the #SolarForecasting Prize is Northview Weather from Danville, VT. This team developed a #solar #forecasting method to produce dynamically based spread of probabilistic solar power forecast information. Learn more about their plan: bit.ly/3Lgksro

UM ClasP Team from Ann Arbor, MI, is one of the #SolarForecasting Prize winners! The team developed a hybrid #solar #forecasting method using ground horizontal irradiance based on a recursive neural network. Learn more about their plan: bit.ly/3Lgksro

Congrats to all winners of the #SolarForecasting Prize! Including current UACI startup, Leaptran! 🎉

Congratulations to the 5 winners and 2 runners-up of the #SolarForecasting Prize! These teams earned cash prizes for their #solar forecasting abilities & commercialization plan. Stay tuned as we highlight each team & share more about the results: bit.ly/3Lgksro

Who will win up to $50K in cash prizes for increasing stakeholder awareness of state-of-the-art #solar #forecasting? Register for #CMUEnergyWeek’s Virtual Networking Mixer this Friday to hear the results of the #SolarForecasting Prize: bit.ly/3MW9yZA

It’s week 3 of #SolarForecasting Prize leaderboard results and competitors are holding steady in their rankings. With just one week of #solar forecasting left, competition is heating up for these top teams! 🔥 Check out the full anonymous standings: herox.com/SolarForecasting/l…

And they’re off! 🏁 The #SolarForecasting Prize competitors have finished the first week of forecasts & the anonymized results are in. Prompt Molly 🐟 is taking an early lead, earning the top spot among 23 teams. See the leaderboard for full standings: herox.com/SolarForecasting/l…

Last call! You've got until TOMORROW to enter the American-Made #SolarForecasting Prize, where up to 5 teams will get $50K *each* in cash prizes for the best performing algorithm & the strongest commercialization plan: herox.com/SolarForecasting

The countdown starts now! T-minus 5 days to register for the #SolarForecasting Prize. All you have to do to get started is sign up—seriously, it’s that easy! Sign up now & you could win $50K in March: herox.com/SolarForecasting

Need a New Year’s resolution? Sign-up for the #SolarForecasting Prize to help improve #solar industry! Submit the best performing algorithm and strongest commercialization plan by Jan. 12: herox.com/SolarForecasting\