Results 21 to 30 of about 7,175,735 (307)
IFAC-PapersOnLine, 2018 Abstract Accurate short-term wind power forecast is very important for reliable and efficient operation of power systems with high wind power penetration. There are many conventional and artificial intelligence methods that have been developed to achieve accurate wind power forecasting. Time-series based algorithms are known to be simple, robust, and
Q. Chen, K.A. Folly
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A Simplified LSTM Neural Networks for One Day-Ahead Solar Power Forecasting
IEEE Access, 2021 In recent years, exploration and exploitation of renewable energies are turning a new chapter toward the development of energy policy, technology and business ecosystem in all the countries.
Chun-Hung Liu, J. Gu, Ming-Ta Yang
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Advanced Methods for Photovoltaic Output Power Forecasting: A Review
Applied Sciences, 2020 Forecasting is a crucial task for successfully integrating photovoltaic (PV) output power into the grid. The design of accurate photovoltaic output forecasters remains a challenging issue, particularly for multistep-ahead prediction.
Adel Mellit +4 more
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Completed Review of Various Solar Power Forecasting Techniques Considering Different Viewpoints
Energies, 2022 Solar power has rapidly become an increasingly important energy source in many countries over recent years; however, the intermittent nature of photovoltaic (PV) power generation has a significant impact on existing power systems.
Yuan-Kang Wu +3 more
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Energies, 2020 Accurately forecasting power generation in photovoltaic (PV) installations is a challenging task, due to the volatile and highly intermittent nature of solar-based renewable energy sources.
Athanasios I. Salamanis +9 more
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Solar Photovoltaic Power Forecasting: A Review
Sustainability, 2022 The recent global warming effect has brought into focus different solutions for combating climate change. The generation of climate-friendly renewable energy alternatives has been vastly improved and commercialized for power generation.
Kelachukwu J. Iheanetu
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DeepVELOX: INVELOX Wind Turbine Intelligent Power Forecasting Using Hybrid GWO–GBR Algorithm
Energies, 2023 The transition to sustainable electricity generation depends heavily on renewable energy sources, particularly wind power. Making precise forecasts, which calls for clever predictive controllers, is a crucial aspect of maximizing the efficiency of wind ...
Ashkan Safari +2 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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A Novel Wind Power Forecast Model: Statistical Hybrid Wind Power Forecast Technique (SHWIP)
IEEE Transactions on Industrial Informatics, 2015 As the result of increasing population and growing technological activities, nonrenewable energy sources, which are the main energy providers, are diminishing day by day. Due to this factor, efforts on efficient utilization of renewable energy sources have increased all over the world.
Ozkan, Mehmet Baris, Karagoz, Pinar
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PV power forecasting based on data-driven models: a review
International Journal of Sustainable Engineering, 2021 Accurate PV power forecasting techniques are a prerequisite for the optimal management of the grid and its stability. This paper presents a review of the recent developments in the field of PV power forecasting, mainly focusing on the literature which ...
Priya Gupta, Rhythm Singh
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