Concepedia

A novel short receptive field based dilated causal convolutional network integrated with Bidirectional LSTM for short-term load forecasting

Umar Javed, Khalid Ijaz, Muhammad Jawad, Ikramullah Khosa, Ejaz Ahmad Ansari, Shabih Zaidi, Muhammad Nadeem Rafiq, Noman Shabbir

Expert Systems with Applications · 2022 · 68 citations · 39 references

Concepts

ComputingComputer ScienceData ScienceForecastingMachine LearningTime Series AnalysisCausal ForecastingDeep LearningLoad ForecastingShort-term ForecastingCausal Network InferenceConvolutional Forecasting ModelsDeep Learning For ForecastingDeep Learning For Time Series ForecastingReceptive Field EncodingRecurrent Neural IntegrationShort-term Load Forecasting

References

39

Long Short-Term Memory

Sepp Hochreiter, Jürgen Schmidhuber · Neural Computation · 1997 · 98.1K citations

Computing, Computer Science, Algorithms +16

Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network

A. Sherstinsky · Physica D Nonlinear Phenomena · 2020 · 5.4K citations · Full text

Computing, Computer Science, Machine Learning +9

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

Weicong Kong, Zhao Yang Dong, Youwei Jia et al. · IEEE Transactions on Smart Grid · 2017 · 2.5K citations

Computing, Data Science, Forecasting +16

Deep Learning for Household Load Forecasting—A Novel Pooling Deep RNN

Heng Shi, Minghao Xu, Ran Li · IEEE Transactions on Smart Grid · 2017 · 1.1K citations · Full text

Computing, Computer Science, Data Science +16

Optimal Deep Learning LSTM Model for Electric Load Forecasting using Feature Selection and Genetic Algorithm: Comparison with Machine Learning Approaches †

Salah Bouktif, Ali Fiaz, Ali Ouni et al. · Energies · 2018 · 902 citations · Full text

Computing, Electrical Engineering, Feature Engineering +16