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Holographic Ensemble Forecasting Method for Short-Term Power Load
IEEE Transactions on Smart Grid, 2019In this paper, we newly propose a holographic ensemble forecasting method (HEFM). First, we use the mutual information and statistical method to select feature variables, which is an ensemble of information about the cross-border multi-source data at the dataset level.
Mo Zhou, Min Jin
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A methodology for Short-term Electric Power Load Forecasting
2019 9th International Conference on Advances in Computing and Communication (ICACC), 2019Energy consumption has been increasing steadily due to globalization and industrialization. As a result electricity load forecasting has gained vital importance in order to conserve energy and other resources. But due to the uncertain characteristics of forecasting methods, it is still one among the most difficult task to get implemented with accurate ...
Smithu Izudheen, Anu Maria Joykutty
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Short-term load forecasting: A power-regression approach
2014 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), 2014The short-term load forecasting problem is addressed by means of a power regression approach. Exploiting the highly correlated nature of the explanatory variables, just two loads are deemed sufficiently informative for prediction purposes: one day before and one week before.
G. De Nicolao +3 more
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Very Short Term Load Forecasting for Macau Power System
2012This paper presents the implementation of very short time load forecasting (VSLF) for Macau power system with the forecasting period ranging from several minutes to 8 hours. The methodology adopted is the hybrid model with ANN-based and similar days methods included weather information variables, which are seldom considered as input variables of VSLF ...
Chong Yin Fok, Mang I Vai
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Research on Short Term Load Forecasting of Power System
Advanced Materials Research, 2012The short term load forecast of power system is one of the important tasks of power dispatch and service department, whose accuracy has a close relation with dispatch operation, production plan and quality of power supply. Artificial neural network was introduced into forecasting of short term load.
Li Zhong Wang +3 more
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A New Short-Term Load Forecasting in Power Systems
Applied Mechanics and Materials, 2014For realizing highly accuracy load forecasting, a new method is proposed. Power load time series belongs to chaotic series. Firstly, for obtaining three parameters in chaotic theory, namely time delay, embedding dimension and the number of the nearest neighbors, self-correlation function method and G-P algorithm are used to reconstruct the phase space ...
Hui Li, Hong Bin Sun
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Neural Systems for Short-Term Forecasting of Electric Power Load
2007In this paper a neural system for daily forecasting of electric power load in Poland is presented. Basing on the simplest neural architecture - a multi-layer perceptron - more and more complex system is built step by step. A committee rule-aided hierarchical system consisting of modular ANNs is obtained as a result.
Michal Bak, Andrzej Bielecki
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Load models for short-term load forecasting in multinode power systems
Canadian Electrical Engineering Journal, 1982The problem of on-line short-term load demand forecasting at all the major loading nodes of an interconnected power system is studied. A multivariable state space model is proposed. The innovations representation is utilized, so that an ordinary recursive least-squares algorithm can be used to give unbiased estimates of the model parameters.
M. Abu-El-Magd, Naresh K. Sinha
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