Jove
Visualize
Contact Us

Related Concept Videos

Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

125
The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
125
Wind Turbine Machine Models01:24

Wind Turbine Machine Models

86
In the growing field of wind energy, incorporating wind turbine models into transient stability analysis is essential. Induction and synchronous machines are the primary models used, with induction machines being prevalent due to their simplicity and reliability.
Induction machines interact through the rotating magnetic field generated by the stator and the rotor. The key parameter is slip, which is the difference between synchronous speed and rotor speed relative to synchronous speed. Slip is...
86
The Swing Equation01:21

The Swing Equation

239
The Swing Equation is a fundamental tool in power system dynamics, especially for analyzing the behavior of generating units like three-phase synchronous generators. This equation emerges from applying Newton's second law to the rotor of a generator, encompassing factors such as inertia, angular acceleration, and the interplay between mechanical and electrical torques.
In a steady-state operation, the mechanical torque (Τm) supplied to the generator is balanced by the electrical torque...
239
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

79
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
79
IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations01:08

IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations

841
Identical bonds within a polyatomic group can stretch symmetrically (in-phase) or asymmetrically (out-of-phase). Similar to hydrogen bonding, these vibrations also influence the shape of the IR peak. Generally, asymmetric stretching frequencies are higher than symmetric stretching frequencies. For example, primary amines exhibit two distinct IR peaks between 3300–3500 cm−1 corresponding to the symmetric and asymmetric N-H stretching, while secondary amines exhibit a single...
841
Power Factor Correction01:20

Power Factor Correction

142
The power transmission to a factory involves the transfer of apparent power, a combination of active and reactive power. The power factor measures how effectively electrical power is converted into useful work output. The ratio of the real power (KW) that does the work to the apparent power (KVA) supplied to the circuit.
142
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies
  1. Home
  3. Research Domains
  5. Engineering
  7. Communications Engineering
  9. Signal Processing
  11. Adaptive Singular Spectral Decomposition Hybrid Framework With Quadratic Error Correction For Wind Power Prediction.

Adaptive singular spectral decomposition hybrid framework with quadratic error correction for wind power prediction.

Chunliang Mai1,2, Lixin Zhang3,4, Omar Behar5

  • 1College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China.

Iscience
|May 5, 2025

Related Experiment Videos

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

1.5K
Data Acquisition Protocol for Determining Embedded Sensitivity Functions
07:46

Data Acquisition Protocol for Determining Embedded Sensitivity Functions

Published on: April 20, 2016

6.1K
Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing
08:54

Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing

Published on: February 13, 2018

8.6K

View abstract on PubMed

Summary
This summary is machine-generated.

This study introduces a novel hybrid model for accurate wind power forecasting, significantly improving prediction accuracy and reducing errors. The advanced method enhances renewable energy integration into power grids.

Area of Science:

  • Renewable Energy Systems
  • Artificial Intelligence in Energy
  • Signal Processing for Power Systems

Background:

  • Accurate wind power forecasting is crucial for grid stability and efficient renewable energy integration.
  • The inherent nonlinear and stochastic nature of wind data presents significant prediction challenges.
  • Existing forecasting models often struggle with noise reduction and hyperparameter optimization.

Purpose of the Study:

  • To develop a robust and accurate hybrid model for high-precision wind power forecasting.
  • To address the challenges posed by wind data's complexity and improve prediction reliability.
  • To enhance the integration of wind energy into power grids through advanced forecasting techniques.

Main Methods:

  • Adaptive Improved Singular Spectrum Analysis (ISSA) for parameter-free noise reduction and modal decomposition.
Keywords:
Applied computingApplied sciencesEnergy engineering

Related Experiment Videos

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

1.5K
Data Acquisition Protocol for Determining Embedded Sensitivity Functions
07:46

Data Acquisition Protocol for Determining Embedded Sensitivity Functions

Published on: April 20, 2016

6.1K
Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing
08:54

Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing

Published on: February 13, 2018

8.6K
  • Optimized Bidirectional Temporal Convolutional Network-Bidirectional Long Short-Term Memory (BiTCN-BiLSTM) networks.
  • AdaBoost ensemble learning for dynamic error correction and enhanced robustness.
  • Hybrid strategy-enhanced dung beetle optimization (OTDBO) for hyperparameter tuning.

    • Main Results:

    • Significant performance improvements demonstrated on seasonal datasets from Dabancheng wind farm.
    • Mean Absolute Error (MAE) reduced by 45.4% and Root-Mean-Square Error (RMSE) by 47.6% (p < 0.001).
    • Training time was reduced by 12.1%-21.3%, indicating computational efficiency.

    Conclusions:

    • The proposed hybrid model offers a substantial advancement in wind power forecasting accuracy and robustness.
    • This method provides a scalable solution for reliable renewable energy integration into power grids.
    • The combination of ISSA, BiTCN-BiLSTM, and AdaBoost effectively handles complex wind data characteristics.