Results 31 to 40 of about 215,326 (298)
Multi-convolution feature extraction and recurrent neural network dependent model for short-term load forecasting [PDF]
, 2021 Load forecasting is critical for power system operation and market planning.With the increased penetration of renewable energy and the massive consumption of electric energy, improving load forecasting accuracy has become a dif cult task.
Goh, Hui Hwang +6 more
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A Short-Term Load Forecasting Method Based on GRU-CNN Hybrid Neural Network Model
Mathematical Problems in Engineering, 2020 Short-term load forecasting (STLF) plays a very important role in improving the economy and stability of the power system operation. With the smart meters and smart sensors widely deployed in the power system, a large amount of data was generated but not
Lizhen Wu +3 more
semanticscholar +1 more source
Short-Term Load Forecasting Using an LSTM Neural Network for a Grid Operator
Energies, 2023 Electricity is crucial for daily life due to the number of activities that depend on it. To forecast future electric load, which changes over time and depends on various factors, grid operators (GOs) must create forecasting models for various time ...
Joan Sebastian Caicedo-Vivas +1 more
semanticscholar +1 more source
Short term power load forecasting using Deep Neural Networks [PDF]
, 2017 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
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An overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting
, 2017 The key component in forecasting demand and consumption of resources in a supply network is an accurate prediction of real-valued time series. Indeed, both service interruptions and resource waste can be reduced with the implementation of an effective ...
Bianchi, Filippo Maria +4 more
core +1 more source
EMD-Based Short-term load forecasting
Advances in Social Science, Education and Humanities Research, 2014 Based on the characteristics of power load series such as periodic randomness and instability, A new method for short-term load forecasting was presented in this paper. Firstly, the power load series was decomposed into intrinsic mode functions (IMF).
Rui Cao +5 more
openaire +2 more sources
IEEE AccessShort-term load forecasting (STLF) is vital in effectively managing the reserve requirement in modern power grids. Subsequently, it supports the grid operator in making effective and economical decisions during the power balancing operation.
Kaleem Ullah +8 more
semanticscholar +1 more source
Non-parametric short-term load forecasting
International Journal of Electrical Power & Energy Systems, 2007 Abstract Load forecasting is an important problem in the operation and planning of electrical power generation, as well as in transmission and distribution networks. This paper is interested by short-term load forecasting. It deals with the development of a reliable and efficient Kernel regression model to forecast the load in the Hydro Quebec ...
D. Asber +4 more
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Short-term Load Forecasting with Distributed Long Short-Term Memory
2023 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), 2023 5 pages, 4 figures, 2023 ISGT ...
Dong, Yi +3 more
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Short-Term Load Forecasting of the Greek Electricity System
Applied Sciences, 2023 Short-term load forecasting is an essential instrument in power system planning, operation, and control. It is involved in the scheduling of capacity dispatch, system reliability analysis, and maintenance planning for turbines and generators. Despite the
G. Stamatellos, Tassos Stamatelos
semanticscholar +1 more source