Results 1 to 10 of about 108,367 (189)
A Short-Term Load Forecasting Method Using Integrated CNN and LSTM Network
In this study, a new technique is proposed to forecast short-term electrical load. Load forecasting is an integral part of power system planning and operation.
Shafiul Hasan Rafi +3 more
doaj +3 more sources
Short term power load forecasting using Deep Neural Networks [PDF]
Accurate load forecasting greatly influences the planning processes undertaken in operation centres of energy providers that relate to the actual electricity generation, distribution, system maintenance as well as electricity pricing. This paper exploits
Marnerides, Angelos, Ud Din, Ghulam Mohi
core +5 more sources
Power system load forecasting model plays an important role in all aspects of power system planning, operation and control. Therefore, accurate power load forecasting provides an important guarantee for the stable operation of the power grid system. This
Hongsheng Xu +3 more
doaj +3 more sources
Short-term power load forecasting based on the CEEMDAN-TCN-ESN model. [PDF]
Ensuring an adequate electric power supply while minimizing redundant generation is the main objective of power load forecasting, as this is essential for the power system to operate efficiently.
Jiacheng Huang +2 more
doaj +2 more sources
Short-term power load forecasting method based on Bagging-stochastic configuration networks. [PDF]
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
doaj +2 more sources
Short-term power load forecasting based on gray relational analysis and support vector machine optimized by artificial bee colony algorithm [PDF]
Short-term power load forecasting is essential in ensuring the safe operation of power systems and a prerequisite in building automated power systems.
Xinfu Pang +4 more
doaj +3 more sources
Research on short-term power load forecasting based on VMD and GRU. [PDF]
The traditional method for power load forecasting is susceptible to various factors, including holidays, seasonal variations, weather conditions, and more. These factors make it challenging to ensure the accuracy of forecasting results. Additionally, there is a limitation in extracting meaningful physical signs from power data, which ultimately reduces
Sun H, Yu Z, Zhang B.
europepmc +4 more sources
Accurate short-term power load forecasting is crucial to maintaining a balance between energy supply and demand, thus minimizing operational costs. However, the intrinsic uncertainty and non-linearity of load data substantially impact the accuracy of ...
Zhuoqun Zou +5 more
doaj +3 more sources
Fusion Forecasting Algorithm for Short-Term Load in Power System
Short-term load forecasting plays an important role in power system scheduling, optimization, and maintenance, but no existing typical method can consistently maintain high prediction accuracy.
Tao Yu +4 more
doaj +2 more sources
Short-Term Power Load Forecasting Based on DPSO-LSSVM Model
The accurate prediction of short-term power load is a critical element for maintaining the normal and stable operation of the power system. For short-term power load forecasting, the collected power load data is preprocessed to quantify temperature ...
Shujun Ji +7 more
doaj +2 more sources

