Forecasting hourly day-ahead solar photovoltaic power generation by assembling a new adaptive multivariate data analysis with a long short-term memory network

Author:

Gupta PriyaORCID,Singh RhythmORCID

Funder

Ministry of Education, India

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Control and Systems Engineering

Reference70 articles.

1. PV power forecasting based on data-driven models: a review;Gupta;Int. J. Sustain. Eng.,2021

2. Very short-term temperature forecaster using MLP and N-nearest stations for calculating key control parameters in solar photovoltaic generation;Rodríguez;Sustain. Energy Technol. Assess.,2021

3. Extreme gradient boosting and deep neural network based ensemble learning approach to forecast hourly solar irradiance;Kumari;J. Clean Prod.,2021

4. Economic implications of forecasting electricity generation from variable renewable energy sources;Ruhnau;Renew. Energy,2020

5. Operational day-ahead solar power forecasting for aggregated PV systems with a varying spatial distribution;Visser;Renew. Energy,2022

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