Improving forecasting accuracy of daily enterprise electricity consumption using a random forest based on ensemble empirical mode decomposition
Sign Up to like & getrecommendations! Published in 2018 at "Energy"
DOI: 10.1016/j.energy.2018.10.113
Abstract: The forecast of electricity consumption plays an essential role in marketing management. In this study, a random forest (RF) model coupled with ensemble empirical mode decomposition (EEMD) named EEMD-RF is presented for forecasting the daily… read more here.
Keywords: mode; electricity; electricity consumption; ensemble empirical ... See more keywords
Modified complementary ensemble empirical mode decomposition and intrinsic mode functions evaluation index for high-speed train gearbox fault diagnosis
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Sound and Vibration"
DOI: 10.1016/j.jsv.2018.03.018
Abstract: Abstract Complementary ensemble empirical mode decomposition (CEEMD) has been developed for the mode-mixing problem in Empirical Mode Decomposition (EMD) method. Compared to the ensemble empirical mode decomposition (EEMD), the CEEMD method reduces residue noise in… read more here.
Keywords: mode; evaluation index; ensemble empirical; empirical mode ... See more keywords
Forecasting oil production using ensemble empirical model decomposition based Long Short-Term Memory neural network
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Petroleum Science and Engineering"
DOI: 10.1016/j.petrol.2020.107013
Abstract: Abstract Oil production forecasting is an important means of understanding and effectively developing reservoirs. Reservoir numerical simulation is the most mature and effective method for production forecasting, but its accuracy mostly depends on high-quality history… read more here.
Keywords: production; oil production; model; production forecasting ... See more keywords
Using polls to forecast popular vote share for US presidential elections 2016 and 2020: An optimal forecast combination based on ensemble empirical model
Sign Up to like & getrecommendations! Published in 2022 at "Journal of the Operational Research Society"
DOI: 10.1080/01605682.2022.2101951
Abstract: Abstract This study introduces the Ensemble Empirical Mode Decomposition (EEMD) technique to forecasting popular vote shares in general elections. The technique is useful when using polling data. Our main interest in this study is shorter-… read more here.
Keywords: presidential elections; popular vote; elections 2016; 2016 2020 ... See more keywords
Ensemble empirical mode decomposition-based preprocessing method with Multi-LSTM for time series forecasting: a case study for hog prices
Sign Up to like & getrecommendations! Published in 2022 at "Connection Science"
DOI: 10.1080/09540091.2022.2111404
Abstract: Drastic hog price fluctuations have a great impact on the welfare of hog farmers, people's living standards, and the macroeconomy. To stabilise the hog price, hog price forecasting has become an increasingly hot issue in… read more here.
Keywords: empirical mode; hog; mode decomposition; hog prices ... See more keywords
Bearing Performance Degradation Assessment Based on Ensemble Empirical Mode Decomposition and Affinity Propagation Clustering
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2913186
Abstract: As key components in a rotating machinery system, bearings affect the safety of the entire mechanical system. Hence, early-stage monitor of bearing degradation is critical to avoid abrupt mechanical system failure. In this paper, a… read more here.
Keywords: decomposition; based ensemble; ensemble empirical; degradation ... See more keywords
Harmonic Detection Technology for Power Grids Based on Adaptive Ensemble Empirical Mode Decomposition
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3055553
Abstract: Harmonic detection and control for power grids have always been major concerns for researchers. With the application of diverse semiconductor materials in power systems, numerous asymmetrical loads arise, resulting in increasingly poor performance of traditional… read more here.
Keywords: decomposition; power grids; ensemble empirical; harmonic detection ... See more keywords
Radio Interferometer Observations and Analysis of an Energetic In-Cloud Pulse Based on Ensemble Empirical Mode Decomposition
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3078738
Abstract: Based on the ensemble empirical mode decomposition (EEMD) method, a DAF method for signal construction is proposed that repeatedly decomposes (D) the signal, amplifies (A) the local signal characteristics, and then filters (F) the signal.… read more here.
Keywords: empirical mode; mode decomposition; based ensemble; decomposition ... See more keywords
A Combined Methodology to Eliminate Artifacts in Multichannel Electrogastrogram Based on Independent Component Analysis and Ensemble Empirical Mode Decomposition
Sign Up to like & getrecommendations! Published in 2018 at "SLAS Technology"
DOI: 10.1177/2472630318756903
Abstract: Cutaneous measurements of electrogastrogram (EGG) signals are heavily contaminated by artifacts due to cardiac activity, breathing, motion artifacts, and electrode drifts whose effective elimination remains an open problem. A common methodology is proposed by combining… read more here.
Keywords: methodology; mode; empirical mode; independent component ... See more keywords
A New Hybrid Approach for Wind Speed Forecasting Applying Support Vector Machine with Ensemble Empirical Mode Decomposition and Cuckoo Search Algorithm
Sign Up to like & getrecommendations! Published in 2018 at "Applied Sciences"
DOI: 10.3390/app8101754
Abstract: Wind speed forecasting plays a crucial role in improving the efficiency of wind farms, and increases the competitive advantage of wind power in the global electricity market. Many forecasting models have been proposed, aiming to… read more here.
Keywords: empirical mode; ensemble empirical; wind speed; speed forecasting ... See more keywords
Detecting Epileptic Seizures in EEG Signals with Complementary Ensemble Empirical Mode Decomposition and Extreme Gradient Boosting
Sign Up to like & getrecommendations! Published in 2020 at "Entropy"
DOI: 10.3390/e22020140
Abstract: Epilepsy is a common nervous system disease that is characterized by recurrent seizures. An electroencephalogram (EEG) records neural activity, and it is commonly used for the diagnosis of epilepsy. To achieve accurate detection of epileptic… read more here.
Keywords: mode; empirical mode; complementary ensemble; ensemble empirical ... See more keywords