A novel hybrid short-term electricity forecasting technique for residential loads using Empirical Mode Decomposition and Extreme Learning Machines.
S. M. SulaimanP. Aruna JeyanthyD. DevarajK. V. ShihabudheenPublished in: Comput. Electr. Eng. (2022)
Keyphrases
- short term
- empirical mode decomposition
- extreme learning machines
- load forecasting
- long term
- non stationary
- stock market prediction
- forecasting model
- wind power
- stock market
- medium term
- electric load forecasting
- multi band
- power generation
- hilbert huang transform
- short term and long term
- short and long term
- wind speed
- energy consumption
- arima model
- intrinsic mode functions
- electricity consumption
- chaotic time series
- eeg signals
- long term memory
- wavelet decomposition
- power system
- short term prediction
- pattern recognition