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Photovoltaic power forecasting with a long short-term memory autoencoder networks
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 …
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
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 …
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
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 …
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 …
Accurately predicting potential evapotranspiration (PET) is crucial in water resource
management, agricultural planning, and climate change studies. This research aims to …
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
To tackle environmental and increasing energy demand issues, different energy transition
options have been investigated. Solar power has vast resources and is environment …
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 …
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
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 …
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 …
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 …
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
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 …
systems selecting appropriate provinces, and even future investment policies. With this …