We propose a Bayesian model averaging (BMA) post-processing method suitable for forecasting power from utility-scale photovoltaic (PV) plants at multiple time horizons up to at least the day-ahead ...

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rather than overhauling existing code. Nadella claimed the AI-generated results he's seen using Python are "fantastic", while code generated in C++ still has a ways to go. You may like OpenAI is ...

The Microsoft CEO said the company was seeing mixed results in AI-generated code across different languages, with more progress in Python and less in C++. Microsoft CTO Kevin Scott previously said ...

but it hasn’t had the natural language interface and ease of use of modern gen AI. That’s where IBM’s Granite time series forecasting models fit in; they apply transformer technology to ...

For example ... forecasting models (e.g., SARIMA, exponential smoothing methods) might be more appropriate. We should experiment with different models to find the one that best fits our data. We will ...

(3) Execute: The Python interpreter runs ... Experimental results on the test subset using different base LLMs and action types. We provide the code for testing the forecasting performance of ...