Deep learning for renewable energy forecasting: A taxonomy, and systematic literature review

C Ying, W Wang, J Yu, Q Li, D Yu, J Liu - Journal of Cleaner Production, 2023 - Elsevier
In order to identify power production and demand in realtime for efficient and dependable
management for diverse renewable energy systems, precise and intuitive renewable energy …

A review of state-of-the-art and short-term forecasting models for solar pv power generation

WC Tsai, CS Tu, CM Hong, WM Lin - Energies, 2023 - mdpi.com
Accurately predicting the power produced during solar power generation can greatly reduce
the impact of the randomness and volatility of power generation on the stability of the power …

Hybrid ultra-short-term PV power forecasting system for deterministic forecasting and uncertainty analysis

J Wang, Y Yu, B Zeng, H Lu - Energy, 2024 - Elsevier
The rapid development of the photovoltaic industry provides a new source of power for the
continued operation of the over-consumed energy world. While providing new opportunities …

Assessing Machine Learning Approaches for Photovoltaic Energy Prediction in Sustainable Energy Systems

M Abdelsattar, MA Ismeil, MA Azim… - IEEE …, 2024 - ieeexplore.ieee.org
Precise forecasting of solar power output is crucial for integrating renewable energy into
power networks, improving efficiency and dependability. This study assesses the efficacy of …

Hour-Ahead Photovoltaic Power Prediction Combining BiLSTM and Bayesian Optimization Algorithm, with Bootstrap Resampling for Interval Predictions

R Herrera-Casanova, A Conde, C Santos-Pérez - Sensors, 2024 - mdpi.com
Photovoltaic (PV) power prediction plays a critical role amid the accelerating adoption of
renewable energy sources. This paper introduces a bidirectional long short-term memory …

Effect of recycling on the environmental impact of a high-efficiency photovoltaic module combining space-grade solar cells and optical micro-tracking

A Ziemińska-Stolarska, M Pietrzak, I Zbiciński - Energies, 2023 - mdpi.com
This paper presents a life cycle assessment (LCA) analysis of a new, high-concentration
photovoltaic (HCPV) technology developed as part of the HIPERION project of hybrid …

[HTML][HTML] Addressing the cybersecurity vulnerabilities of advanced nanogrids: A practical framework

PJ Hueros-Barrios, FJR Sánchez, P Martín, C Jiménez… - Internet of Things, 2022 - Elsevier
The rapid deployment of advanced nanogrids which has enabled utility customers to
become energy suppliers, the so-called prosumers with power generation capabilities …

[PDF][PDF] Solar prediction strategy for managing virtual power stations

CI Cahyadi, AA Dewi, M Kona, M Arif… - International Journal of …, 2023 - zbw.eu
Indonesia is located on the equator, so it has the potential for solar power to be available
and with good sunlight throughout the year. The Indonesian government finally has the …

Solar power forecasting model as a renewable generation source on virtual power plants

S Suwarno, D Pinayungan - Bulletin of Electrical Engineering and …, 2024 - beei.org
This paper describes modeling solar power generation as a renewable energy generator by
simulating the analytical approach mean absolute error and root mean square error (MAE …

Development of a suitable model for forecasting solar energy in urban area in Vietnam

XT Nguyen, DQ Nguyen, TD Nguyen - AIP Conference Proceedings, 2024 - pubs.aip.org
Vietnam has been evaluated to possess an extraordinary solar energy potential with an
increasing number of solar power projects: rooftop systems for urban areas, solar farms in …