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Solar Photovoltaic Power Forecasting [PDF]
Journal of Electrical and Computer Engineering, 2020 The management of clean energy is usually the key for environmental, economic, and sustainable developments. In the meantime, the energy management system (EMS) ensures the clean energy which includes many sources grouped in a small power plant such as microgrid (MG). In this case, the forecasting methods are used for helping the EMS and allow the high
Abdelhakim El hendouzi +1 more
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The forecasting power of the microbiome
Trends in Microbiology, 2023 Microorganisms are informative biological integrators of past and present environmental abiotic and biotic conditions. At the same time, they are directly involved in ecosystem processes. Unfortunately, the complexity of microbial communities has so far resulted in most studies being descriptive. Here, we suggest that signals in the microbiome data can
Sara Correa-Garcia +2 more
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Solar Radiation Forecasting Based on the Hybrid CNN-CatBoost Model
IEEE Access, 2023 The renewable energy industry is rapidly expanding due to environmental pollution from fossil fuels and continued price hikes. In particular, the solar energy sector accounts for about 48.7% of renewable energy, at the highest production ratio ...
Hyojeoung Kim +4 more
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Integrated Correction Method of Multi-point Numerical Weather Prediction Wind Speed and Irradiance
发电技术, 2022 Numerical weather prediction (NWP) correction is one of the key technologies to improve the accuracy of wind and solar power forecasting. However, there are few researches on the correction of NWP irradiance.
ZHANG Yongrui +4 more
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Time-Series Power Forecasting for Wind and Solar Energy Based on the SL-Transformer
Energies, 2023 As the urgency to adopt renewable energy sources escalates, so does the need for accurate forecasting of power output, particularly for wind and solar power.
Jian Zhu +7 more
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Intra-Day Solar Power Forecasting Strategy for Managing Virtual Power Plants
Sensors, 2021 Solar energy penetration has been on the rise worldwide during the past decade, attracting a growing interest in solar power forecasting over short time horizons.
Guillermo Moreno +5 more
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Forecasting of Power Demands Using Deep Learning
Applied Sciences, 2020 The forecasting of electricity demands is important for planning for power generator sector improvement and preparing for periodical operations. The prediction of future electricity demand is a challenging task due to the complexity of the available ...
Taehyung Kang +3 more
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A Meta-Modeling Power Consumption Forecasting Approach Combining Client Similarity and Causality
Energies, 2021 Power forecasting models offer valuable insights on the electricity consumption patterns of clients, enabling the development of advanced strategies and applications aimed at energy saving, increased energy efficiency, and smart energy pricing.
Dimitrios Kontogiannis +3 more
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Prediction Error-Based Power Forecasting of Wind Energy System Using Hybrid WT–ROPSO–NARMAX Model
Energies, 2023 The volatility and intermittency of wind energy result in highly unpredictable wind power output, which poses challenges to the stability of the intact power system when integrating large-scale wind power.
Aamer A. Shah +5 more
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Real time photovoltaic power forecasting and modelling using machine learning techniques [PDF]
E3S Web of Conferences, 2022 Photovoltaic (PV) system installations have increased in recent years partly due to growing energy needs from a rising population. Such PV systems producing electricity contribute in promoting green energy.
Mwende Rita +2 more
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