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Pso-Tuned Tcn: A Novel Approach for Accurate Energy Demand Forecasting for Smart Homes

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s00521-016-2367-8openalex-snapshot

Forecasting the energy demand of Turkey with a NN based on an improved Particle Swarm Optimization

inferredcites →https://doi.org/10.1007/s00521-020-05569-0openalex-snapshot

A robust model for domain recognition of acoustic communication using Bidirectional LSTM and deep neural network.

inferredcites →https://doi.org/10.1016/j.asoc.2017.01.049openalex-snapshot

PSO-based analysis of Echo State Network parameters for time series forecasting

inferredcites →https://doi.org/10.1016/j.energy.2020.118363openalex-snapshot

Examining the linkages between electricity consumption and economic growth in African economies

inferredcites →https://doi.org/10.1016/j.protcy.2013.12.159openalex-snapshot

The Effect of Data Pre-processing on Optimized Training of Artificial Neural Networks

inferredcites →https://doi.org/10.1038/nature14539openalex-snapshot

Deep learning

inferredcites →https://doi.org/10.1109/5.58337openalex-snapshot

Backpropagation through time: what it does and how to do it

inferredcites →https://doi.org/10.1109/access.2019.2963045openalex-snapshot

Short-Term Prediction of Residential Power Energy Consumption via CNN and Multi-Layer Bi-Directional LSTM Networks

inferredcites →https://doi.org/10.1109/access.2021.3071654openalex-snapshot

Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition

inferredcites →https://doi.org/10.1109/cec.2019.8789968openalex-snapshot

Particle Swarm Optimization-based CNN-LSTM Networks for Forecasting Energy Consumption

inferredcites →https://doi.org/10.1109/icis46139.2019.8940265openalex-snapshot

Time Series Prediction Based on Temporal Convolutional Network

inferredcites →https://doi.org/10.1109/pq.2019.8818267openalex-snapshot

Comparison of Machine Learning Based Methods for Residential Load Forecasting

inferredcites →https://doi.org/10.1109/tsg.2014.2342796openalex-snapshot

Last-Meter Smart Grid Embedded in an Internet-of-Things Platform

inferredcites →https://doi.org/10.1109/tsg.2017.2753802openalex-snapshot

Short-Term Residential Load Forecasting Based on LSTM Recurrent Neural Network

inferredcites →https://doi.org/10.3390/en10101525openalex-snapshot

Building Energy Consumption Prediction: An Extreme Deep Learning Approach

inferredcites →https://doi.org/10.35193/bseufbd.935824openalex-snapshot

Forecasting of Turkey’s Electrical Energy Consumption using LSTM and GRU Networks

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