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Short-term load forecasting is viewed as one promising technology for demand prediction under the most critical inputs for the promising arrangement of power plant units.
Lichao Sun +4 more
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Analysis load forecasting of power system using fuzzy logic and artificial neural network [PDF]
Load forecasting is a vital element in the energy management of function and execution purpose throughout the energy power system. Power systems problems are complicated to solve because power systems are huge complex graphically widely distributed and ...
A Mostafa, Salama +7 more
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Exploiting road traffic data for very short term load forecasting in smart grids [PDF]
If accurate short term prediction of electricity consumption is available, the Smart Grid infrastructure can rapidly and reliably react to changing conditions.
Aparicio, J +5 more
core +1 more source
Short-Term Electric Load Forecasting Based on a Neural Fuzzy Network [PDF]
Electric load forecasting is essential to improve the reliability of the ac power line data network and provide optimal load scheduling in an intelligent home system.
Lam, HK, Leung, FHF, Ling, SH, Tam, PKS
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Short-Term Electrical Load Forecasting Based on Time Augmented Transformer
Electrical load forecasting is of vital importance in intelligent power management and has been a hot spot in industrial Internet application field. Due to the complex patterns and dynamics of the data, accurate short-term load forecasting is still a ...
Guangqi Zhang +3 more
doaj +1 more source
Short-Term Load Forecasting Method Based on Feature Preference Strategy and LightGBM-XGboost
Short term load forecasting is one of the important problems in power system. Accurate forecasting results can improve the flexibility of power market and resource utilization efficiency, which is of great significance to the efficient operation of power
Xiaotong Yao, Xiaoli Fu, Chaofei Zong
doaj +1 more source
Industrial Ultra-Short-Term Load Forecasting With Data Completion
Accurate and efficient ultra-short-term load forecasting is crucial for industrial power users to have stabilized and optimized operations. In this paper, we develop novel strategies for industrial power users to handle their challenges in ultra-short ...
Haoyu Jiang +4 more
doaj +1 more source
Short term energy forecasting techniques for virtual power plants [PDF]
YesThe advent of smart meter technology has enabled periodic monitoring of consumer energy consumption. Hence, short term energy forecasting is gaining more importance than conventional load forecasting.
Pillai, Prashant +4 more
core +1 more source
Compared to the load characteristics of normal working days, weekend load characteristics have a low level of load and are sensitive to meteorological conditions, which influences the accuracy of short-term weekend-load forecasting. To solve this problem
Bin Li +3 more
doaj +1 more source
Short-term power demand forecasting using the differential polynomial neural network [PDF]
Power demand forecasting is important for economically efficient operation and effective control of power systems and enables to plan the load of generating unit.
Zjavka, Ladislav
core +2 more sources

