Results 41 to 50 of about 136,820 (296)
Short-Term Electric Load Forecasting Based on a Neural Fuzzy Network [PDF]
, 2003 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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International Journal of Electrical Power & Energy SystemsLately, in the context of global energy crisis and economic recovery after the COVID-19 epidemic, the contradiction between power supply and demand has become more prominent, showing a tight balance.
Zhanshuo Hu +5 more
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Electrical Load Forecasting Models for Different Generation Modalities: A Review
IEEE Access, 2021 The intelligent management of power in electrical utilities depends on the high significance of load forecasting models. Since the industries are digitalized, power generation is supported by a variety of resources. Therefore, the forecasting accuracy of
Abdul Azeem +3 more
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Short-Term Load Forecasting Based on the CEEMDAN-Sample Entropy-BPNN-Transformer
Energies, 2022 Aiming at the problem that power load data are stochastic and that it is difficult to obtain accurate forecasting results by a single algorithm, in this paper, a combined forecasting method for short-term power load was proposed based on the Complete ...
Shichao Huang +6 more
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Fuzzy Load Forecast with Optimized Parametric Adjustment Using Jaya Optimization Algorithm
International Journal of Computational Intelligence Systems, 2020 This paper proposes an advanced fuzzy load forecast method optimized by modified Jaya optimization (MJO) algorithm. MATLAB® platform is used to implement the proposed hybrid Fuzzy-MJO load forecasting algorithm and to verify the outperforming features of
Ho Pham Huy Anh, Ho Pham Huy Anh
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Local Short Term Electricity Load Forecasting: Automatic Approaches
, 2017 Short-Term Load Forecasting (STLF) is a fundamental component in the efficient management of power systems, which has been studied intensively over the past 50 years. The emerging development of smart grid technologies is posing new challenges as well as
Bianchi, Filippo Maria +2 more
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Evaluating load balancing policies for performance and energy-efficiency [PDF]
, 2016 Nowadays, more and more increasingly hard computations are performed in challenging fields like weather forecasting, oil and gas exploration, and cryptanalysis.
Berg, Freek van den +2 more
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, 2006 For the electric power factory, the power load forecasting problem, including load forecasting and consumption predicting, is crucial to work planning. According to the predicting time, it can be divided into long-term forecasting, mid-term forecasting ...
Hao, Z., Lu, L., Shao, D.
core
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
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Organoids in pediatric cancer research
FEBS Letters, EarlyView.Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley +1 more source