National Renewable Energy Laboratory
No mentions found
This entity hasn't been tracked yet, or Iris is still building its knowledge base.
Related Articles from SNS
Enhanced Renewable Energy Forecasting using Context-Aware Conformal Prediction
arXiv:2510.15780v2 Announce Type: replace-cross Abstract: Artificial intelligence (AI) is increasingly used to support renewable energy forecasting and grid operations. As renewable penetration grows, reliable probabilistic forecasting is becoming essential for managing uncertainty and supporting risk-aware operational decision-making. However, these forecasts often suffer from miscalibration due to temporal variability, changing weather conditions, and heterogeneous operating regimes.
Lignin to adipic acid in a high-yield chemical and biological redox process
Abstract Viable manufacturing pathways to produce bio-based chemicals from renewable feedstocks, such as lignin derived from plant biomass, are needed to decarbonize the chemicals manufacturing sector. Converting the recalcitrant lignin polymer to valuable bioproducts remains a longstanding challenge in biorefining, with the highest reported single-product yield from lignin currently around 20 wt% (refs. Most existing lignin depolymerization strategies target aryl–ether bond cleavage, which...
Green initiatives make HKIS campus a living laboratory
Green initiatives make HKIS campus a living laboratory [The content of this article has been produced by our advertising partner.] Through its commitment to creating a green campus by cutting carbon emissions through System Optimization and producing renewable energy, Hong Kong International School (HKIS) is also giving students an in-depth understanding of real-world approaches that turn ideas into action and bring net-zero targets within reach. The school has long made sustainability a...