Multi-label machine learning for power forecasting of a grid-connected photovoltaic solar plant over multiple time horizons
In this study, machine learning algorithms are employed to develop multi-label forecasts of the PV and AC power…
Analog in-memory computing attention mechanism for fast and energy-efficient large language models
Hardware-based neural network simulations We implement the sliding window attention by masking the elements of S outside the…