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[HTML][HTML] The Impact of Dust Deposition on PV Panels' Efficiency and Mitigation Solutions
Conversion efficiency, power production, and cost of PV panels' energy are remarkably
impacted by external factors including temperature, wind, humidity, dust aggregation, and …
impacted by external factors including temperature, wind, humidity, dust aggregation, and …
Short-term photovoltaic power forecasting based on signal decomposition and machine learning optimization
Y Zhou, J Wang, Z Li, H Lu - Energy Conversion and Management, 2022 - Elsevier
Owing to the continuous increase in the proportion of solar generation accounting for the
total global generation, real-time management of solar power has become indispensable …
total global generation, real-time management of solar power has become indispensable …
A tutorial review of the solar power curve: Regressions, model chains, and their hybridization and probabilistic extensions
Owing to the persisting hype in pushing toward global carbon neutrality, the study scope of
atmospheric science is rapidly expanding. Among numerous trending topics, energy …
atmospheric science is rapidly expanding. Among numerous trending topics, energy …
Memory long and short term time series network for ultra-short-term photovoltaic power forecasting
C Huang, M Yang - Energy, 2023 - Elsevier
Photovoltaic (PV) power is stochastic, intermittent and volatile, which has brought huge
challenges to the safe and stable operation of the power grid. Accurate PV power …
challenges to the safe and stable operation of the power grid. Accurate PV power …
Dynamic directed graph convolution network based ultra‐short‐term forecasting method of distributed photovoltaic power to enhance the resilience and flexibility of …
Y Wang, W Fu, X Zhang, Z Zhen… - IET Generation …, 2024 - Wiley Online Library
Accurately forecasting regional distributed photovoltaic (DPV) power is crucial in mitigating
the negative impact of high DPV penetration on the reliability and resilience of the …
the negative impact of high DPV penetration on the reliability and resilience of the …
Enhancing solar photovoltaic energy production prediction using diverse machine learning models tuned with the chimp optimization algorithm
Solar photovoltaic (PV) systems, integral for sustainable energy, face challenges in
forecasting due to the unpredictable nature of environmental factors influencing energy …
forecasting due to the unpredictable nature of environmental factors influencing energy …
Ultra-short-term distributed PV power forecasting for virtual power plant considering data-scarce scenarios
Accurate forecasting of distributed photovoltaic (DPV) power plays a crucial role in enabling
a virtual power plant (VPP) to grasp its internal DPV characteristics and support the …
a virtual power plant (VPP) to grasp its internal DPV characteristics and support the …
[HTML][HTML] Power modeling of degraded PV systems: Case studies using a dynamically updated physical model (PV-Pro)
Power modeling, widely applied for health monitoring and power prediction, is crucial for the
efficiency and reliability of Photovoltaic (PV) systems. The most common approach for power …
efficiency and reliability of Photovoltaic (PV) systems. The most common approach for power …
A stacked ensemble forecast for photovoltaic power plants combining deterministic and stochastic methods
Feature engineering (or creation of new features) that strengthens the importance of
fundamental variables (eg, cloud cover, partial shading, solar irradiance) is essential in …
fundamental variables (eg, cloud cover, partial shading, solar irradiance) is essential in …
[КНИГА][B] Solar irradiance and photovoltaic power forecasting
Forecasting plays an indispensable role in grid integration of solar energy, which is an
important pathway toward the grand goal of achieving planetary carbon neutrality. This …
important pathway toward the grand goal of achieving planetary carbon neutrality. This …