Short-Term Power Load Forecasting of Multi-Charging Piles Based on Improved Gate Recurrent Unit [PDF]
, 2023 Zhaolei He +6 more
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Power Load Prediction Based on Fractal Theory
Advances in Mathematical Physics, 2015 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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Forecasting from one day to one week ahead for the Spanish system operator [PDF]
, 2007 This paper discusses the building process and models used by Red Eléctrica de España (REE), the Spanish system operator, in short-term electricity load forecasting. REE's forecasting system consists of one daily model and 24 hourly models with a common
Cancelo, José Ramón +2 more
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The Short-Term Power Load Forecasting Based on Sperm Whale Algorithm and Wavelet Least Square Support Vector Machine with DWT-IR for Feature Selection [PDF]
, 2017 Jinpeng Liu, Changling Li
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Short-term load forecasting based on a semi-parametric additive model [PDF]
Short-term load forecasting is an essential instrument in power system planning, operation and control. Many operating decisions are based on load forecasts, such as dispatch scheduling of generating capacity, reliability analysis, and maintenance ...
Rob Hyndman, Shu Fan
core
Short-term power load forecasting based on parallel decomposition
Advanced Engineering InformaticsElectricity is fundamental to national economic and social development, and its stable supply depends on accurate power load forecasting. Thus, developing precise forecasting models is essential for efficient power system operation. However, increasing global energy demand exacerbates the volatility, randomness, and intermittency of power loads ...
Chuang Wang +4 more
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Corrective receding horizon EV charge scheduling using short-term solar forecasting [PDF]
, 2019 Forecast errors can cause sub-optimal solutions in resource planning optimization, yet they are usually modeled simplistically by statistical models, causing unrealistic impacts on the optimal solutions.
Haghi, HV +3 more
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Short-Term Electrical Load Forecasting in Power Systems Using Deep Learning Techniques
, 2023 Nihat Pamuk
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Short-Term Power Load Forecasting Method Based on GRU-Transformer Combined Neural Network Model
Journal of Computing and Information TechnologyLoad Forecast (LF) is an important task in the planning, control and application of public power systems. Accurate Short Term Load Forecast (STLF) is the premise of safe and economical operation of a power system. In the research of short-term power load
Weiwei Mao, Suping Yu, Wenqing Chen
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Power System Parameters Forecasting Using Hilbert-Huang Transform and Machine Learning [PDF]
, 2014 A novel hybrid data-driven approach is developed for forecasting power system parameters with the goal of increasing the efficiency of short-term forecasting studies for non-stationary time-series. The proposed approach is based on mode decomposition and
Kurbatsky, Victor +5 more
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