Solar Irradiance Prediction Using Reinforcement Learning Pre-Trained with Few Historical Data

Byung-Ki Jeon; Eui-Jong Kim

doi:10.2139/ssrn.4312790

ScienceGate Book Chapters

JOURNAL ARTICLE

Solar Irradiance Prediction Using Reinforcement Learning Pre-Trained with Few Historical Data

Byung-Ki Jeon Eui-Jong Kim

Year: 2022 Journal: SSRN Electronic Journal Publisher: RELX Group (Netherlands)

DOI: 10.2139/ssrn.4312790

Get Full-Text PDF Get Analytical Report

Keywords:

Solar irradiance Irradiance Reinforcement learning Reinforcement Artificial intelligence Computer science Machine learning Environmental science Engineering Meteorology Geography Physics Optics Structural engineering

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Solar Radiation and Photovoltaics

Physical Sciences → Computer Science → Artificial Intelligence

Energy Load and Power Forecasting

Physical Sciences → Engineering → Electrical and Electronic Engineering

Energy and Environment Impacts

Physical Sciences → Environmental Science → Pollution

Solar Irradiance Prediction Using Reinforcement Learning Pre-Trained with Few Historical Data

Metrics

Citation History

Topics

Related Documents

Solar irradiance prediction using reinforcement learning pre-trained with limited historical data

Prediction of solar irradiance with machine learning methods using satellite data

Model Based Reinforcement Learning Pre-Trained with Various State Data

Solar Irradiance Prediction Using an Optimized Data Driven Machine Learning Models

Development of a Solar diffuse Irradiance Prediction Model using Existing Solar Decomposition Models and Reinforcement Learning