Review of noise removal techniques in ECG signals
An electrocardiogram (ECG) records the electrical signal from the heart to check for different
heart conditions, but it is susceptible to noises. ECG signal denoising is a major pre …
heart conditions, but it is susceptible to noises. ECG signal denoising is a major pre …
Data processing strategies in wind energy forecasting models and applications: A comprehensive review
H Liu, C Chen - Applied Energy, 2019 - Elsevier
Given the intermittent nature of the wind, accurate wind energy forecasting is significant to
the proper utilization of renewable energy sources. In recent years, data-driven models …
the proper utilization of renewable energy sources. In recent years, data-driven models …
A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer
Reliable and accurate wind speed forecasting (WSF) is fundamental for efficient exploitation
of wind power. In particular, high accuracy short-term WSF (ST-WSF) has a significant …
of wind power. In particular, high accuracy short-term WSF (ST-WSF) has a significant …
Forecasting gold price using a novel hybrid model with ICEEMDAN and LSTM-CNN-CBAM
Y Liang, Y Lin, Q Lu - Expert Systems with Applications, 2022 - Elsevier
Gold price has always played an important role in the world economy and finance. In order
to predict the gold price more accurately, this paper proposes a novel decomposition …
to predict the gold price more accurately, this paper proposes a novel decomposition …
The role of seasonality in the spread of COVID-19 pandemic
It has been reported that the transmission of COVID-19 can be influenced by the variation of
environmental factors due to the seasonal cycle. However, its underlying mechanism in the …
environmental factors due to the seasonal cycle. However, its underlying mechanism in the …
Short-term wind speed forecasting using recurrent neural networks with error correction
J Duan, H Zuo, Y Bai, J Duan, M Chang, B Chen - Energy, 2021 - Elsevier
As a type of clean energy, wind energy has been effectively used in power systems.
However, due to the influence of the atmospheric boundary layer, wind speed exhibits …
However, due to the influence of the atmospheric boundary layer, wind speed exhibits …
Short-term nacelle orientation forecasting using bilinear transformation and ICEEMDAN framework
H Li, J Deng, P Feng, C Pu, DDK Arachchige… - Frontiers in Energy …, 2021 - frontiersin.org
To maximize energy extraction, the nacelle of a wind turbine follows the wind direction.
Accurate prediction of wind direction is vital for yaw control. A tandem hybrid approach to …
Accurate prediction of wind direction is vital for yaw control. A tandem hybrid approach to …
A neural-network-based method for RUL prediction and SOH monitoring of lithium-ion battery
J Qu, F Liu, Y Ma, J Fan - IEEE access, 2019 - ieeexplore.ieee.org
The prognostic and health management (PHM) of lithium-ion batteries has received
increasing attention in recent years. The remaining useful life (RUL) prediction and state of …
increasing attention in recent years. The remaining useful life (RUL) prediction and state of …
A combined forecasting model for time series: Application to short-term wind speed forecasting
Wind speed forecasting has been growing in popularity, owing to the increased demand for
wind power electricity generation and developments in wind energy competitiveness. Many …
wind power electricity generation and developments in wind energy competitiveness. Many …
A combined short-term wind speed forecasting model based on CNN–RNN and linear regression optimization considering error
J Duan, M Chang, X Chen, W Wang, H Zuo, Y Bai… - Renewable Energy, 2022 - Elsevier
Wind speed forecasting is the key to wind power conversion and management in smart
grids. In this paper, a new hybrid model is proposed, which is composed of empirical mode …
grids. In this paper, a new hybrid model is proposed, which is composed of empirical mode …