Abstract: This paper proposes a short-term load forecasting model combining Seasonal-Trend decomposition using Loess (STL decomposition) and Stacking ensemble learning. The method decomposes power ...
We present a knowledge‐guided machine learning framework for operational hydrologic forecasting at the catchment scale. Our approach, a Factorized Hierarchical Neural Network (FHNN), has two main ...
This project utilizes an Arduino Uno CH340G development board paired with a DHT11 temperature and humidity sensor to create a compact yet capable environmental monitoring system. It measures ambient ...
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