Photovoltaic power forecasting with a long short-term memory autoencoder networks

M Sabri, M El Hassouni - Soft Computing, 2023 - Springer
In many developed countries, photovoltaic solar power, which is considered the most cost-
effective renewable energy source, accounts for a major portion of electricity production. The …

Analysis of historical and future cooling degree days over Türkiye for facade design and energy efficiency in buildings

A Bilgili, K Çelik, M Bilgili - Journal of Thermal Analysis and Calorimetry, 2024 - Springer
In today's examination of optimal facade design for buildings, facade performance has a
significant influence on cooling energy consumption. Cooling degree days (CDD) is …

[HTML][HTML] Advancing solar energy forecasting with modified ANN and light GBM learning algorithms

MF Hanif, MS Naveed, M Metwaly, J Si, X Liu, J Mi - AIMS Energy, 2024 - aimspress.com
In the evolving field of solar energy, precise forecasting of Solar Irradiance (SI) stands as a
pivotal challenge for the optimization of photovoltaic (PV) systems. Addressing the …

Comparative assessment of deep belief network and hybrid adaptive neuro-fuzzy inference system model based on a meta-heuristic optimization algorithm for precise …

ME Akiner, M Ghasri - Environmental Science and Pollution Research, 2024 - Springer
Accurately predicting potential evapotranspiration (PET) is crucial in water resource
management, agricultural planning, and climate change studies. This research aims to …

Neuromorphic Computing-Based Model for Short-Term Forecasting of Global Horizontal Irradiance In Saudi Arabia

A Alharbi, U Ahmed, T Alharbi, A Mahmood - IEEE Access, 2024 - ieeexplore.ieee.org
To tackle environmental and increasing energy demand issues, different energy transition
options have been investigated. Solar power has vast resources and is environment …

Instant solar irradiation forecasting for solar power plants using different ANN algorithms and network models

EO Yuzer, A Bozkurt - Electrical Engineering, 2024 - Springer
Solar irradiation is a crucial parameter in the design and operation of solar energy systems.
However, its long-term measurement everywhere is hindered by the maintenance and cost …

Design of solar battery swap** station for EV using LSTM-assisted solar power forecasting

SK Chawrasia, D Hembram, D Bose… - Microsystem …, 2024 - Springer
Electric vehicles (EVs) are gaining importance nowadays as these are the best option for
green transportation. But the charging of the electric vehicle is again a challenging task as it …

A comprehensive analysis of recent advances in deep learning based solar irradiance forecasting

V Muniyandi, S Manimaran, PR Ramu… - … on Trends in …, 2023 - ieeexplore.ieee.org
Powering remote mobile communication towers is essential for establishing reliable
communication. If the backup diesel generators in the remote mobile towers are replaced by …

Optimal capacity of variable-speed pumped storage for wind power consumption based on double-layer stochastic programming

W Yao, W Li, R Liu, Y Sun - Journal of renewable and sustainable …, 2023 - pubs.aip.org
Configuring a certain capacity of energy storage for the power system can effectively
improve the reliability of the power supply and the level of wind power consumption. This …

Deep learning approach for one-hour ahead forecasting of solar radiation in different climate regions

A Yildirim, M Bilgili, O Kara - International Journal of Green Energy, 2024 - Taylor & Francis
The accurate prediction of hourly global solar radiation is critical to solar energy conversion
systems selecting appropriate provinces, and even future investment policies. With this …