Jove
Visualize
Contact Us
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

Related Concept Videos

Multimachine Stability01:25

Multimachine Stability

256
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
256
Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

1.9K
Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
1.9K
Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

228
The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
228
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

358
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:
358
Energy and Power Signals01:17

Energy and Power Signals

748
In an electrical system with a resistor, voltage and current signals facilitate the measurement of power and energy across the resistor. For a continuous-time signal, the total energy over a time interval is defined as the integral of the square of the signal's magnitude over that interval. Mathematically, this is expressed as:
748
Load-frequency control01:28

Load-frequency control

288
Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...
288

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

AI-Powered MRI Radiomics and Deep Learning for Preoperative Prediction of Cavernous Sinus Invasion in Pituitary Adenomas: A Clinically Oriented Review of Current Evidence.

Neuroimage. Reports·2026
Same author

Retraction Note: Computational simulation and modelling of uranium extraction using tributylphosphate through membrane extractor.

Scientific reports·2026
Same author

Neural efficiency in creative decision-making: A sparse directed subnetwork in soccer experts revealed by fMRI.

NeuroImage·2026
Same author

High-Power Terahertz Emission from Picosecond Nano-Plasma Switching Driven by Secondary Electron Emission Avalanche.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Inverse design of an ultra-wideband endfire grooved half-mode waveguide (G-HMWG) antenna based on the CNN approach.

Scientific reports·2026
Same author

Comment on: "Five-year follow up on risk factors for condylar resorption after maxillomandibular advancement surgery".

The British journal of oral & maxillofacial surgery·2026

Related Experiment Video

Updated: Oct 22, 2025

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
10:36

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

Published on: November 3, 2023

1.8K

Day-ahead electricity price forecasting using WPT, VMI, LSSVM-based self adaptive fuzzy kernel and modified HBMO

Rahmad Syah1, Mohammad Rezaei2, Marischa Elveny3

  • 1Data Science & Computational Intelligence Research Group, Universitas Medan Area, Medan, Indonesia. rahmadsyah@staff.uma.ac.id.

Scientific Reports
|August 31, 2021
PubMed
Summary

This study proposes an electricity price forecasting algorithm using Wavelet Packet Transform (WPT) and a novel Least Squares Support Vector Machine (LSSVM-SFK) with a modified HBMO for improved accuracy in electricity market predictions.

More Related Videos

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
09:04

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

Published on: June 1, 2022

3.2K

Related Experiment Videos

Last Updated: Oct 22, 2025

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
10:36

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

Published on: November 3, 2023

1.8K
A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
09:04

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

Published on: June 1, 2022

3.2K

Area of Science:

  • Energy Economics
  • Computational Intelligence
  • Signal Processing

Background:

  • Accurate electricity price forecasting is crucial for market participants to optimize bidding strategies and enhance profitability.
  • Existing forecasting methods often face challenges in handling the complex dynamics of electricity markets.
  • The need for robust and efficient algorithms to predict future electricity prices is a significant research area.

Purpose of the Study:

  • To develop a novel, powerful, and successful electricity price forecasting algorithm.
  • To improve the accuracy and efficiency of electricity price prediction models.
  • To enhance the profitability of market participants through better forecasting.

Main Methods:

  • The proposed algorithm integrates Wavelet Packet Transform (WPT) for signal decomposition and Variational Mutual Information (VMI) for feature selection.
  • A Least Squares Support Vector Machine with a Self-Adaptive Fuzzy Kernel (LSSVM-SFK) is employed for pattern extraction.
  • A modified HBMO (Harris Hawks Optimization) algorithm is introduced for optimal tuning of LSSVM-SFK parameters.

Main Results:

  • The algorithm successfully decomposes price signals into high and low-frequency subseries using WPT.
  • VMI effectively selects valuable input data, reducing computational load.
  • The LSSVM-SFK, optimized by the modified HBMO, demonstrates superior pattern extraction capabilities.
  • Empirical evaluation on electricity markets shows the proposed algorithm achieves acceptable efficiency compared to other models.

Conclusions:

  • The developed forecasting algorithm offers a significant improvement in electricity price prediction accuracy.
  • The integration of WPT, VMI, LSSVM-SFK, and modified HBMO provides a robust framework for energy market analysis.
  • The proposed method empowers market participants with reliable future price information for strategic decision-making.