A clustering method suitable for the Bi-LSTM (bidirectional long short-term memory) model for processing power state samples, which can improve learning performance, was studied. The case studies ...

Like with movies, I don’t have one favorite machine learning (ML) algorithm, but a few favorites, each for its own reason. Here are some of my top few algorithms and models: Most elegant: The ...

This paper focuses on machine learning forecasting algorithms for solar power generation, specifically using the Long Short-Term Memory (LSTM) algorithm, a type of recurrent neural network (RNN).

However the dynamic variation in the TST transmit power challenges the served users to develop optimal computing task processing decisions. In this paper we propose an efficient pruning-split long ...