Concepedia

Highly accurate energy consumption forecasting model based on parallel LSTM neural networks

Ning Jin, Fan Yang, Yuchang Mo, Yongkang Zeng, Xiaokang Zhou, Ke Yan, Xiang Ma

Advanced Engineering Informatics · 2021 · 154 citations · 49 references

Concepts

ComputingData ScienceForecastingMachine LearningTime Series AnalysisDeep LearningEnergy Demand ForecastingEnergy System ModelingLoad ForecastingTime Series ForecastingTime Series PredictionElectricity Consumption ForecastingEnergy ConsumptionEnergy PredictionNeural ForecastingNeural Time Series Forecasting

References

49

Long Short-Term Memory

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

Computing, Computer Science, Algorithms +16

The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis

Norden E. Huang, Steven Long, Man‐Li C. Wu et al. · Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences · 1998 · 23.3K citations · Full text

Computing, Computational Engineering, Biomedical Signal Processing +16

Variational Mode Decomposition

Konstantin Dragomiretskiy, Dominique Zosso · IEEE Transactions on Signal Processing · 2014 · 8.6K citations

Engineering, Electrical Engineering, Biomedical Signal Processing +15

Empirical Wavelet Transform

Jérôme Gilles · IEEE Transactions on Signal Processing · 2013 · 2.2K citations · Full text

Engineering, Electrical Engineering, Biomedical Signal Processing +9

The Performance of LSTM and BiLSTM in Forecasting Time Series

Sima Siami‐Namini, Neda Tavakoli, Akbar Siami Namin · 2019 · 1.5K citations

Computing, Data Science, Forecasting +16