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A New Intelligent Method for Power Load Forecasting
Sixth International Conference on Intelligent Systems Design and Applications, 2006Various factors that influence power load are more and more intricate. The traditional load forecasting methods can no longer adapt to the situation. Self-organizing method is a comparably new modeling method and so as to be easily used in the recognition and prediction of complex non-linear systems. Compared with traditional forecasting methods, it is
Wei Li +4 more
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Power load forecast system for Turkish electric market
2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015Forecasting the electric load demand in advance is very important in deregulated market conditions to give proper production, purchase, maintenance and investment decisions. Correct price forecasts also depend on accurate load prediction. In this study, effects of calendar, historical price and load data on short-term load forecast for Turkish ...
Ömer Özgür Bozkurt +2 more
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Application of Grey Forecasting Model to Load Forecasting of Power System
2011The grey GM (1, 1) model is a kind of more effective load forecasting model, however, because power load has diversity, causing some variation is larger, the load forecasting error cannot match the requirements. Precision in practical application has certain limitations.
Yan Yan +4 more
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Research on load forecasting model on power sensor net
2020 16th International Conference on Mobility, Sensing and Networking (MSN), 2020The business process of load forecasting algorithm for distribution network planning is studied in depth, and the work steps of load forecasting in different places are discussed according to different planning objectives. Then, based on power sensor net, we systematically describes various power demand forecasting models and related theories, as well ...
Kai Huang +5 more
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Combining Probability Density Forecasts for Power Electrical Loads
IEEE Transactions on Smart Grid, 2020Researchers have proposed various probabilistic load forecasting models in the form of quantiles, densities, or intervals to describe the uncertainties of future energy demand. Density forecasts can provide more uncertainty information than can be expressed by just the quantile and interval. However, the combining method for density forecasts is seldom
Tianyi Li 0009 +2 more
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Forecasting loads and prices in competitive power markets
Proceedings of the IEEE, 2000This paper provides a review of some of the main methodological issues and techniques which have become innovative in addressing the problem of forecasting daily loads and prices in the new competitive power markets. Particular emphasis is placed upon computationally intensive methods, including variable segmentation, multiple modeling, combinations ...
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Power management by load forecasting in web server clusters
Cluster Computing, 2011The complexity and requirements of web applications are increasing in order to meet more sophisticated business models (web services and cloud computing, for instance). For this reason, characteristics such as performance, scalability and security are addressed in web server cluster design.
Carlos Santana +2 more
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Power Load Forecasting Based on VMD and Attention-LSTM
Proceedings of the 3rd International Conference on Data Science and Information Technology, 2020Accurate forecasting of short-term load forecasting is of great help to demand-side response and power dispatching. In order to improve the accuracy of short-term power load prediction, the original power load data signals are decomposed by using the Variational Mode Decomposition (VMD) method. The decomposed sub-signals and the original signals form a
Han-Chieh Chao +4 more
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The Design and Realization of Power System Load Forecasting Software
2011Based on CC-2000 system with good openness, portability and scalability, we explain the structure and overall design of the load forecasting software, discuss how to apply meteorological information to load forecasting software steps and used instructions of weather software in detail, and finally point out the limitations of meteorological correction ...
Yan Yan +3 more
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Study of Neural Networks for Electric Power Load Forecasting
2006Electric Power Load Forecasting is important for the economic and secure operation of power system, and highly accurate forecasting result leads to substantial savings in operating cost and increased reliability of power supply. Conventional load forecasting techniques, including time series methods and stochastic methods, are widely used by electric ...
Henry (Hui) Wang +4 more
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