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Found 5 papers, 0 papers with code
Sequence-to-Sequence Model with Transformer-based Attention Mechanism and Temporal Pooling for Non-Intrusive Load Monitoring
This paper presents a novel Sequence-to-Sequence (Seq2Seq) model based on a transformer-based attention mechanism and temporal pooling for Non-Intrusive Load Monitoring (NILM) of smart buildings.
Non-Intrusive Load Monitoring (NILM) using Deep Neural Networks: A Review
Various methods, including machine learning and deep learning, have been used to implement and improve NILM algorithms.
Electricity Price Forecasting Model based on Gated Recurrent Units
The participation of consumers and producers in demand response programs has increased in smart grids, which reduces investment and operation costs of power systems.
Short-Term Load Forecasting Using Time Pooling Deep Recurrent Neural Network
In this paper, we review some of the existing Deep Learning-based methods and present our solution using Time Pooling Deep Recurrent Neural Network.
Generation expansion planning in the presence of wind power plants using a genetic algorithm model
The purpose of GEP is to enhance construction planning and reduce the costs of installing different types of power plants.
