A novel deep learning framework with artificial protozoa optimization-based adaptive environmental response for wind power prediction DOI Creative Commons
Sangkeum Lee,

Mohammad H. Almomani,

Saleh Ali Alomari

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Май 28, 2025

Язык: Английский

A multi-energy meta-model strategy for multi-step ahead energy load forecasting DOI Creative Commons
Aristeidis Mystakidis,

Evangelia Ntozi,

Paraskevas Koukaras

и другие.

Electrical Engineering, Год журнала: 2025, Номер unknown

Опубликована: Фев. 18, 2025

Язык: Английский

Процитировано

2
A Novel Hybrid Prediction Model of Air Quality Index Based on Variational Modal Decomposition and CEEMDAN-SE-GRU DOI
Chaoli Tang, Ziyu Wang, Yuanyuan Wei

и другие.

Process Safety and Environmental Protection, Год журнала: 2024, Номер 191, С. 2572 - 2588

Опубликована: Окт. 9, 2024

Язык: Английский

Процитировано

4
Stability Assessment and Reactive Power Compensation Strategies for Grid-Connected Wind Power Generations DOI Creative Commons
Zheng Dai

Applied and Computational Engineering, Год журнала: 2025, Номер 130(1), С. 206 - 215

Опубликована: Янв. 15, 2025

With the acceleration of global economic integration and rapid increase in population, reserves mineral resources on earth are becoming increasingly scarce, non-renewable scarce. Technological advances have significantly reduced cost photovoltaic wind power, improved energy storage efficiency smart grid technology, solved intermittent problem new energy. How to boost utilization rate ensure its secure reliable operation during connection is an important challenge that current development electric power technology must tackle. To serve as a guide for creation this article analyses two most widely used reactive compensation devices, studies method restoring stable state through after grid-connected becomes unstable, introduces several control methods using devices. The main objective summarize mainstream stability assessment world compare their benefits drawbacks.

Язык: Английский

Процитировано

0
CRAformer: a cross-residual attention transformer for solar irradiation multistep forecasting DOI

Zongbin Zhang,

Xiaoqiao Huang, Chengli Li

и другие.

Energy, Год журнала: 2025, Номер unknown, С. 135214 - 135214

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0
Forecasting time series using convolutional neural network with multiplicative neuron DOI
Shobhit Nigam

Applied Soft Computing, Год журнала: 2025, Номер unknown, С. 112921 - 112921

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0
Optimized Model Selection for Wind Farm Power Forecasting using Dynamic Time Warping DOI
Taehyoung Kim, Jiman Hong

Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, Год журнала: 2025, Номер unknown, С. 738 - 745

Опубликована: Март 31, 2025

Язык: Английский

Процитировано

0
A Comprehensive Analysis of Bitcoin Volatility Forecasting Using Time-series Econometric Models DOI
Nrusingha Tripathy, Sarbeswara Hota, Debabrata Singh

и другие.

Applied Soft Computing, Год журнала: 2025, Номер unknown, С. 113339 - 113339

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0
A novel deep learning framework with artificial protozoa optimization-based adaptive environmental response for wind power prediction DOI Creative Commons
Sangkeum Lee,

Mohammad H. Almomani,

Saleh Ali Alomari

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Май 28, 2025

Язык: Английский

Процитировано

0