A solar irradiance forecasting model using iterative filtering and bidirectional long short-term memory

IF 2.3 4区工程技术 Q3 ENERGY & FUELS

Energy Sources Part A-recovery Utilization and Environmental Effects Pub Date : 2024-06-26 DOI:10.1080/15567036.2024.2370335

Pardeep Singla, Sumit Saroha, Manoj Duhan, Vineet Shekher, Kalyan Singh

引用次数: 0

Abstract

Ensuring the effective functioning of solar-operated power systems requires an accurate solar irradiance forecasting. It increases the efficiency of planning and operation while ensuring the long-t...

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利用迭代滤波和双向长短期记忆的太阳辐照度预报模型

确保太阳能发电系统的有效运行需要准确的太阳辐照度预测。它既能提高规划和运行效率，又能确保太阳能发电系统的长期稳定运行。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Energy Sources Part A-recovery Utilization and Environmental Effects 工程技术-工程：化工

CiteScore

4.40

自引率

6.90%

发文量

488

审稿时长

1.7 months

期刊介绍： Energy Sources Part A: Recovery, Utilization, and Environmental Effects aims to investigate resolutions for the continuing increase in worldwide demand for energy, the diminishing accessibility of natural energy resources, and the growing impact of energy use on the environment. You are invited to submit manuscripts that explore the technological, scientific and environmental aspects of: Coal energy sources Geothermal energy sources Natural gas Nuclear energy sources Oil shale energy sources Organic waste from energy use Petroleum Solar energy sources Tar utilization Sand utilization Wind energy.