Results 41 to 50 of about 8,580 (164)
Globalization for Scalable Short-term Load Forecasting
63 pages with 22 ...
Amirhossein Ahmadi +2 more
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TPE-Based Boosting Short-Term Load Forecasting Method
Short-term load forecasting is generally applied in power system real-time dispatching and day-ahead generation planning, which is of great significance for power system economic dispatching and safe operation of the system. Many researches on short-term
LUO Min, YANG Jinfeng, YU Hui, LAI Yuchen, GUO Yangyun, ZHOU Shangli, XIANG Rui, TONG Xing, CHEN Xiao
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Power Load Prediction Based on Fractal Theory
The basic theories of load forecasting on the power system are summarized. Fractal theory, which is a new algorithm applied to load forecasting, is introduced.
Liang Jian-Kai +2 more
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A Short-Term Load Forecasting Method Based on CNN-BiGRU-NN Model
In order to fully mine the effective information contained in a large number of collected data and improve the accuracy of short-term load forecasting, a short-term load forecasting method is proposed based on a hybrid model of convolutional neural ...
Youjun ZENG +3 more
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Lambda-Based Data Processing Architecture for Two-Level Load Forecasting in Residential Buildings
Building energy management systems (BEMS) have been intensively used to manage the electricity consumption of residential buildings more efficiently.
Gde Dharma Nugraha +4 more
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A NOVEL HYBRID APPROACH TO SHORT TERM LOAD FORECASTING
The knowledge of a day ahead load is necessary for a utility in a competitive electricity market for fuel purchase scheduling, planning for energy transactions and to maintain their power reserve close to the minimum as required by Independent System ...
Ashish Kumar SRIVASTAVA, Tariqul ISLAM
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Long-Short-Term Memory Network Based Hybrid Model for Short-Term Electrical Load Forecasting
Short-term electrical load forecasting is of great significance to the safe operation, efficient management, and reasonable scheduling of the power grid.
Liwen Xu +3 more
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Short-term power load forecasting method based on Bagging-stochastic configuration networks.
Accurate short-term load forecasting is of great significance in improving the dispatching efficiency of power grids, ensuring the safe and reliable operation of power grids, and guiding power systems to formulate reasonable production plans and reduce ...
Xinfu Pang +4 more
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A framework for short-term activity-aware load forecasting
In this paper, we present a framework for implementing short-term load forecasting, in which statistical time series prediction methods and machine learning-based regression methods, can be configured to benchmark their performance against each other on given data of smart meters and other related exogenous variables.
Ding, Yong +3 more
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Given the complexity and dynamic nature of short-term load sequence data, coupled with prevalent errors in traditional forecasting methods, this study introduces a novel approach for short-term load forecasting.
Kaiyuan Hou +5 more
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