Concepedia

A hybrid short-term load forecasting model based on variational mode decomposition and long short-term memory networks considering relevant factors with Bayesian optimization algorithm

Feifei He, Jianzhong Zhou, Zhong-kai Feng, Guangbiao Liu, Yuqi Yang

Applied Energy · 2019 · 326 citations · 45 references

Concepts

Forecasting MethodologyHybrid Short-term LoadEngineeringDemand ForecastingEnergy ForecastingVariational Mode DecompositionForecastingBayesian Optimization AlgorithmEnergy PredictionFunctional Data AnalysisIntelligent Forecasting

References

45

Long Short-Term Memory

Sepp Hochreiter, Jürgen Schmidhuber · Neural Computation · 1997 · 93.8K citations

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 · 22.9K citations · Full text

Extreme learning machine: Theory and applications

Guang-Bin Huang, Qinyu Zhu, Chee-Kheong Siew · Neurocomputing · 2006 · 13K citations

Engineering, Machine Learning, Extreme Learning Machine +5

Learning long-term dependencies with gradient descent is difficult

Yoshua Bengio, P. Simard, Paolo Frasconi · IEEE Transactions on Neural Networks · 1994 · 8.3K citations

Structured Prediction, Gradient Descent, Engineering +11

Variational Mode Decomposition

Konstantin Dragomiretskiy, Dominique Zosso · IEEE Transactions on Signal Processing · 2014 · 8.1K citations

Spectral Theory, Engineering, Variational Analysis +14