Energy evaluation optimization in photovoltaic-load coupled systems using a transformer-based and Bayesian-optimized probabilistic neural network
Transactions of the Institute of Measurement and Control
Published online on March 17, 2026
Abstract
Transactions of the Institute of Measurement and Control, Ahead of Print.
In response to the escalating complexity of energy Internet architectures, this paper proposes a novel two-stage energy evaluation framework integrating a Transformer-based Bayesian-optimized Probabilistic Neural Network (TBP model) with Hadoop-powered ...
In response to the escalating complexity of energy Internet architectures, this paper proposes a novel two-stage energy evaluation framework integrating a Transformer-based Bayesian-optimized Probabilistic Neural Network (TBP model) with Hadoop-powered ...