Application of a novel structure-adaptative grey model with adjustable time power item for nuclear energy consumption forecasting

Applied Energy, Год журнала: 2021, Номер 298, С. 117114 - 117114

Опубликована: Июнь 8, 2021

Язык: Английский

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A State-of-Art-Review on Machine-Learning Based Methods for PV

Applied Sciences, Год журнала: 2021, Номер 11(16), С. 7550 - 7550

Опубликована: Авг. 17, 2021

In the current era, Artificial Intelligence (AI) is becoming increasingly pervasive with applications in several applicative fields effectively changing our daily life. this scenario, machine learning (ML), a subset of AI techniques, provides machines ability to programmatically learn from data model system while adapting new situations as they more by are ingesting (on-line training). During last years, many papers have been published concerning ML field solar systems. This paper presents state art models applied energy’s forecasting i.e., for irradiance and power production (both point interval or probabilistic forecasting), electricity price energy demand forecasting. Other into photovoltaic (PV) taken account modelling PV modules, design parameter extraction, tracking maximum (MPP), systems efficiency optimization, PV/Thermal (PV/T) Concentrating (CPV) parameters’ optimization improvement, anomaly detection management PV’s storage While review already exist regard, usually focused only on one specific topic, gathered all most relevant different fields. The gives an overview recent promising used

Язык: Английский

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An unequal adjacent grey forecasting air pollution urban model

Applied Mathematical Modelling, Год журнала: 2021, Номер 99, С. 260 - 275

Опубликована: Июль 1, 2021

Язык: Английский

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Predictions and mitigation strategies of PM2.5 concentration in the Yangtze River Delta of China based on a novel nonlinear seasonal grey model

Environmental Pollution, Год журнала: 2021, Номер 276, С. 116614 - 116614

Опубликована: Фев. 7, 2021

Язык: Английский

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Short-Term Photovoltaic Power Forecasting Based on VMD and ISSA-GRU

IEEE Access, Год журнала: 2021, Номер 9, С. 105939 - 105950

Опубликована: Янв. 1, 2021

Photovoltaic (PV) power generation is affected by many meteorological factors and environmental factors, which has obvious intermittent, random, volatile characteristics. To improve the accuracy of short-term PV prediction, a hybrid model (VMD-ISSA-GRU) based on variational mode decomposition (VMD), improved sparrow search algorithm (ISSA) gated recurrent unit (GRU) proposed. First all, time series decomposed into different subsequences VMD to reduce non-stationarity original data. Then, main affecting are obtained using correlation coefficients Spearman Pearson, reduces computational complexity model. Finally, GRU network optimized ISSA used predict all residual error VMD, prediction results reconstructed. The show that VMD-ISSA-GRU stronger adaptability higher than other traditional models. mean absolute (MAE) in whole test set 1.0128 kW, root square (RMSE) 1.5511 R _adj ² can reach 0.9993.

Язык: Английский

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Hour-ahead photovoltaic generation forecasting method based on machine learning and multi objective optimization algorithm

Applied Energy, Год журнала: 2022, Номер 312, С. 118725 - 118725

Опубликована: Фев. 18, 2022

Язык: Английский

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A novel structure adaptive new information priority discrete grey prediction model and its application in renewable energy generation forecasting

Applied Energy, Год журнала: 2022, Номер 325, С. 119854 - 119854

Опубликована: Авг. 24, 2022

Язык: Английский

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A novel composite forecasting framework by adaptive data preprocessing and optimized nonlinear grey Bernoulli model for new energy vehicles sales

Communications in Nonlinear Science and Numerical Simulation, Год журнала: 2021, Номер 99, С. 105847 - 105847

Опубликована: Апрель 3, 2021

Язык: Английский

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A novel structural adaptive discrete grey prediction model and its application in forecasting renewable energy generation

Expert Systems with Applications, Год журнала: 2021, Номер 186, С. 115761 - 115761

Опубликована: Авг. 17, 2021

Язык: Английский

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Forecasting nuclear energy consumption in China and America: An optimized structure-adaptative grey model

Energy, Год журнала: 2021, Номер 239, С. 121928 - 121928

Опубликована: Авг. 30, 2021

Язык: Английский

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