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Found 6 papers, 0 papers with code
EnCortex: A General, Extensible and Scalable Framework for Decision Management in New-age Energy Systems
We show that using EnCortex, we can define and compose complex new-age scenarios, owing to industry-standard abstractions of energy entities and the modularity of the framework.
SPIRIT: Short-term Prediction of solar IRradIance for zero-shot Transfer learning using Foundation Models
Traditional solar forecasting models are based on several years of site-specific historical irradiance data, often spanning five or more years, which are unavailable for newer photovoltaic farms.
An Agentic Approach to Automatic Creation of P&ID Diagrams from Natural Language Descriptions
In this work, we introduce a novel copilot for automating the generation of P&IDs from natural language descriptions.
Proof of Thought : Neurosymbolic Program Synthesis allows Robust and Interpretable Reasoning
Large Language Models (LLMs) have revolutionized natural language processing, yet they struggle with inconsistent reasoning, particularly in novel domains and complex logical sequences.
A deep learning approach to solar-irradiance forecasting in sky-videos
Ahead-of-time forecasting of incident solar-irradiance on a panel is indicative of expected energy yield and is essential for efficient grid distribution and planning.
DeepSolarEye: Power Loss Prediction and Weakly Supervised Soiling Localization via Fully Convolutional Networks for Solar Panels
The impact of soiling on solar panels is an important and well-studied problem in renewable energy sector.
