Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...

Abstract: This study comprehensively examines the ability to forecast the stability of smart grids using sophisticated deep learning and machine learning models. We investigate different approaches, ...

When I was in middle school, I had a classmate who would look at trigonometric functions and yell, "I will never need these!" ...

When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. In October 2024, news broke that Facebook parent company Meta had cracked an "impossible" problem ...

National Grid plans to seek a rate increase for its roughly 950,000 natural gas customers in Massachusetts, one that would drive up their annual payments by an average of around 10 percent starting in ...

Abstract: Recently, researchers in the field of math word problem (MWP) solving have reported performance metrics for various large language models (LLMs) on benchmark datasets, with some models ...