RMSE and MAPE analysis for short-term solar irradiance, solar energy, and load forecasting using a Recurrent Artificial Neural Network-Reference-Cited by-同舟云学术

RMSE and MAPE analysis for short-term solar irradiance, solar energy, and load forecasting using a Recurrent Artificial Neural Network

Published:2022 Issue: Volume: Page:181-192
ISSN:
Container-title:Applications of AI and IOT in Renewable Energy
language:
Short-container-title:

Author:

Rai Nilesh Kumar,Saravanan D.,Kumar Labh,Shukla Pradum,Shaw Rabindra Nath

Publisher

Elsevier

Reference33 articles.

1. An IoT based Intelligent Smart Energy Management System with accurate forecasting and load strategy for renewable generation;Pawar;Meas. J. Int. Measurement Confederation,2020

2. What is GHG? | Definition of Greenhouse Gas (GHG) | ADEC ESG Solutions. https://www.esg.adec-innovations.com/about-us/faqs/what-is-ghg/ (accessed 30.01.21).

3. AI and IOT-based model for photovoltaic power generation;Huneria,2021

4. Development of prediction models to determine compressive strength and workability of sustainable concrete with ANN;Singh,2021

5. Fault detection in power transmission system using reverse biorthogonal wavelet;Kapoor,2021

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Short term load forecasting method based on local shape similarity and SVR;Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023);2024-05-13

2. Prediction tool wear using improved deep extreme learning machines based on the sparrow search algorithm;Measurement Science and Technology;2024-01-12

3. Research on Commodities Constraint Optimization Based on Graph Neural Network Prediction;IEEE Access;2023

4. An experimental study on a cylindrical-conical cavity receiver for the parabolic dish collector;Environmental Science and Pollution Research;2022-08-23