Results 11 to 20 of about 45,151 (266)
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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Residential Power Load Forecasting
Procedia Computer Science, 2014 AbstractThe prepaid electric power metering market is being driven in large part by advancements in and the adoption of Smart Grid technology. Advanced smart meters facilitate the deployment of prepaid systems with smart prepaid meters. A successful program hinges on the ability to accurately predict the amount of energy consumed on a daily basis for ...
Patrick Day +6 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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Energy Reports, 2021 Accurate photovoltaic (PV) power forecasting is of great significance for safe and stable operation for PV power plant and reasonable dispatching of power grids, and it is also a fundamental technology to ensure the high ratio of PV power generation ...
Yanhong Ma +5 more
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, 2021 The wind power generation depends on wind speed and its derivatives like: wind speed and direction. With consideration of stochastic nature of wind power, this work addresses three main issues: first, it discusses the state of art of energy forecasting with emphasis on wind power forecasting. It provides an overview of different variables on which wind
Sumit Saroha +2 more
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Asset Bundling for Wind Power Forecasting
CoRR, 2023 The growing penetration of intermittent, renewable generation in US power grids, especially wind and solar generation, results in increased operational uncertainty. In that context, accurate forecasts are critical, especially for wind generation, which exhibits large variability and is historically harder to predict.
Hanyu Zhang +5 more
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Collaborative Wind Power Forecast
, 2014 There are several new emerging environments, generating data spatially spread and interrelated. These applications reinforce the importance of the development of analytical systems capable to sense the environment and receive data from different locations.
Vânia Almeida, João Gama 0001
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SolarDespite the many advantages of renewable energy sources, the stochastic nature of their generation creates a mismatch between electricity production and demand timing. Without appropriate storage solutions, surplus energy remains unused. Although battery
Volodymyr Derii +3 more
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Deterministic Step-by-Step Control of Solar Generation Imbalances in Power Systems
SolarThis paper examines an algorithm and evaluates the upper limits of technical parameters for step-by-step management of forecast coverage for aggregated generation from solar power plants (SPPs) in Ukraine, given the high share of renewable energy sources
Artur Zaporozhets +3 more
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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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