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

Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

2.8K
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
2.8K
Radiation Pressure: Problem Solving01:09

Radiation Pressure: Problem Solving

745
The radiation pressure applied by an electromagnetic wave on a perfectly absorbing surface equals the energy density of the wave. The wave's momentum also gets transferred to the surface when an electromagnetic wave is entirely absorbed by it. The rate at which momentum is transmitted to an absorbing surface perpendicular to the propagation direction equals the force on the surface.
The average value of the rate of momentum transfer divided by the absorbing area represents the average force...
745
Radiation: Applications01:17

Radiation: Applications

1.7K
The average temperature of Earth is the subject of much current discussion. Earth is in radiative contact with both the Sun and dark space; it receives almost all its energy from the radiation of the Sun and reflects some of it into outer space. Dark space is very cold, about 3 K, so Earth radiates energy into it. For instance, heat transfer occurs from soil and grasses, the rate of which can be so rapid that frost can occur on clear summer evenings, even in warm latitudes.
The average...
1.7K
Global Climate Change01:50

Global Climate Change

28.6K
Throughout its ~4.5 billion year history, the Earth has experienced periods of warming and cooling. However, the current drastic increase in global temperatures is well outside of the Earth’s cyclic norms, and evidence for human-caused global climate change is compelling. Paleoclimatology, the study of ancient climate conditions, provides ample evidence for human-caused global climate change by comparing recent conditions with those in the past.
28.6K
Conduction, Convection and Radiation: Problem Solving01:20

Conduction, Convection and Radiation: Problem Solving

2.2K
There are three methods by which heat transfer can take place: conduction, convection, and radiation. Each method has unique and interesting characteristics, but all three have two things in common: they transfer heat solely because of a temperature difference; and the greater the temperature difference, the faster the heat transfer.
In order to solve a problem related to heat transfer, first of all, the situation needs to be examined to determine the type of heat transfer involved. This could...
2.2K
What is Climate?01:16

What is Climate?

20.3K
Climate refers to the prevailing weather conditions in a specific area over an extended period. As the saying goes, “Climate is what you expect. Weather is what you get.” Climate is influenced by geographic factors, such as latitude, terrain, and proximity to bodies of water.
20.3K

You might also read

Related Articles

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

Sort by
Same author

Neural network aided fractional-order second-order sliding mode controller for frequency stabilization of wind integrated nonlinear power system.

Scientific reports·2026
Same author

AI-based hybrid power quality control system for electrical railway using single phase PV-UPQC with Lyapunov optimization.

Scientific reports·2025
Same author

AI based UPQC control technique for power quality optimization of railway transportation systems.

Scientific reports·2024
Same author

Clinical Outcomes of ULTRA EZY Bar vs Erich Arch Bar in Conservative Management of Maxillofacial Fractures: A Randomized Controlled Trial.

Journal of maxillofacial and oral surgery·2024
Same author

Cotrimoxazole Resistant Chancroid.

Indian journal of dermatology, venereology and leprology·2017
Same author

Treatment of Acute Uncomplicated Gonococcal Urethritis in Males by Rosoxacin.

Indian journal of dermatology, venereology and leprology·2017

Related Experiment Video

Updated: Jan 3, 2026

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Published on: October 11, 2016

13.7K

Solar radiation forecasting using MARS, CART, M5, and random forest model: A case study for India.

Rachit Srivastava1, A N Tiwari1, V K Giri1

  • 1Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur 273010, Uttar Pradesh, India.

Heliyon
|November 14, 2019
PubMed
Summary

Accurate solar radiation forecasting is crucial for solar power plant electricity generation predictions. The random forest model demonstrated superior performance in 1- to 6-day ahead hourly solar radiation forecasting compared to other methods.

Keywords:
Applied computingCARTElectrical engineeringEnergyGlobal solar radiation forecastingM5MarsRadiation physicsRandom forestStatistics

More Related Videos

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

10.9K
Surface Mapping of Earth-like Exoplanets using Single Point Light Curves
06:48

Surface Mapping of Earth-like Exoplanets using Single Point Light Curves

Published on: May 10, 2020

3.9K

Related Experiment Videos

Last Updated: Jan 3, 2026

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Published on: October 11, 2016

13.7K
A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

10.9K
Surface Mapping of Earth-like Exoplanets using Single Point Light Curves
06:48

Surface Mapping of Earth-like Exoplanets using Single Point Light Curves

Published on: May 10, 2020

3.9K

Area of Science:

  • Renewable Energy
  • Atmospheric Science
  • Data Science

Background:

  • Solar radiation is a variable input for solar power generation.
  • Accurate solar power output forecasting requires reliable solar radiation predictions.
  • Short-term solar radiation forecasting aids utility and Independent System Operator (ISO) bidding processes.

Purpose of the Study:

  • To perform hourly solar radiation forecasting from 1 to 6 days ahead.
  • To evaluate the performance of multiple machine learning models for this forecasting task.
  • To identify the most effective model for short-term solar radiation prediction.

Main Methods:

  • Utilized historical solar radiation data from Gorakhpur, India.
  • Employed Multivariate Adaptive Regression Splines (MARS), Classification and Regression Trees (CART), M5, and Random Forest models.
  • Conducted hourly forecasting for lead times of 1 to 6 days.

Main Results:

  • The Random Forest model yielded the best forecasting accuracy.
  • The CART model exhibited the poorest performance among the evaluated models.
  • Model performance varied across different forecasting horizons.

Conclusions:

  • Random Forest is a highly effective model for short-term solar radiation forecasting.
  • The study highlights the importance of model selection for accurate solar energy prediction.
  • Findings support improved grid management and energy market participation for solar power plants.