Results 11 to 20 of about 177,951 (296)
Probabilistic Interval Forecasting of Power Load Based on Structured Load Model
Probability interval forecasting has become one of the main methods for power load forecasting because of the uncertainties of power load. In order to solve the problem that the conventional probability interval forecasting methods cannot consider the ...
Chuanjun PANG +3 more
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Review of multiple load forecasting method for integrated energy system
In order to further improve the efficiency of energy utilization, Integrated Energy Systems (IES) connect various energy systems closer, which has become an important energy utilization mode in the process of energy transition.
Yujiao Liu +5 more
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Load forecasting has always been an essential part of power system planning and operation. In recent decades, the competition of the market and the requirements of renewable integration lead more attention to probabilistic load forecasting methods, which
Zhengbang Jiang +6 more
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A load forecasting method for building air conditioning based on multi-stage attention mechanism
Load forecasting of building air conditioning is of great significance for improving the accuracy of power load forecasting of buildings and regional distribution networks. In order to improve the load forecasting accuracy of building air conditioning, a
CHEN Donghai +4 more
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Electric load forecasting is a prominent topic in energy research. Support vector regression (SVR) has extensively and successfully achieved good performance in electric load forecasting.
Rui Wang +3 more
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Short-term power load interval forecasting based on nonparametric Bootstrap errors sampling
Short-term power load forecasting plays a vital role in the planning of distribution network and the development of social economy. Many researchers have devoted their attention to construct point forecasting models.
Ling Xiao, Miaotong Li, Shenghui Zhang
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Short-Term Load Forecasting [PDF]
Some of the decision and control functions discussed in this book require knowledge of future load behavior. In unit commitment, for example, hourly system loads for the next 24–72 hours are required. Some unit commitment programs even require knowledge of future loads for the next week, i.e., 168 hours.
I. Komprej, P. Zunko
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Short-Term Load Forecasting: The Similar Shape Functional Time Series Predictor [PDF]
We introduce a novel functional time series methodology for short-term load forecasting. The prediction is performed by means of a weighted average of past daily load segments, the shape of which is similar to the expected shape of the load segment to be
Paparoditis, Efstathios +1 more
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Multi-objective particle swarm optimization algorithm for multi-step electric load forecasting [PDF]
As energy saving becomes more and more popular, electric load forecasting has played a more and more crucial role in power management systems in the last few years.
Chen, Yanhua +3 more
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With the rapid development of smart grids and distributed energy sources, the home energy management system (HEMS) is becoming a hot topic of research as a hub for connecting customers and utilities for energy visualization.
Ping Ma +4 more
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