Stochastic Approaches to Energy Markets: From Stochastic Differential Equations to Mean Field Games and Neural Network Modeling DOI Creative Commons
Luca Di Persio, Mohammed Alruqimi, Matteo Garbelli

и другие.

Energies, Год журнала: 2024, Номер 17(23), С. 6106 - 6106

Опубликована: Дек. 4, 2024

This review paper examines the current landscape of electricity market modelling, specifically focusing on stochastic approaches, transitioning from Mean Field Games (MFGs) to Neural Network (NN) modelling. The central objective is scrutinize and synthesize evolving modelling strategies within power systems, facilitating technological advancements in contemporary market. emphasizes assessment model efficacy, particularly context MFG NN applications. Our findings shed light diversity models, offering practical insights into their strengths limitations, thereby providing a valuable resource for researchers, policy makers, industry practitioners. guides navigating leveraging latest techniques enhanced decision making improved operations.

Язык: Английский

A load forecasting approach for integrated energy systems based on aggregation hybrid modal decomposition and combined model DOI
Haoyu Chen, Huang Hai, Yong Zheng

и другие.

Applied Energy, Год журнала: 2024, Номер 375, С. 124166 - 124166

Опубликована: Авг. 12, 2024

Язык: Английский

Процитировано

8

Enhancing solar radiation forecasting accuracy with a hybrid SA-Bi-LSTM-Bi-GRU model DOI

Girijapati Sharma,

Subhash Chandra,

Arvind Yadav

и другие.

Earth Science Informatics, Год журнала: 2025, Номер 18(3)

Опубликована: Фев. 19, 2025

Язык: Английский

Процитировано

0

Statistical evaluation of a diversified surface solar irradiation data repository and forecasting using a recurrent neural network-hybrid model: A case study in Bhutan DOI Creative Commons

Sangay Gyeltshen,

Kiichiro Hayashi,

Linwei Tao

и другие.

Renewable Energy, Год журнала: 2025, Номер unknown, С. 122706 - 122706

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Depth determination of simulated biological tissue using X-ray radiography and feature extraction techniques: Evaluation with Bi-LSTM neural network DOI
javad tayebi, Mohammad Reza Rezaie, Saeedeh Khezripour

и другие.

Journal of Radiation Research and Applied Sciences, Год журнала: 2025, Номер 18(2), С. 101406 - 101406

Опубликована: Март 8, 2025

Язык: Английский

Процитировано

0

Short-term multi-site solar irradiance prediction with dynamic-graph-convolution-based spatial-temporal correlation capturing DOI
Haixiang Zang, Wentao Li, Lilin Cheng

и другие.

Renewable Energy, Год журнала: 2025, Номер unknown, С. 122945 - 122945

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Comparative Analysis of Solar Energy Generation Techniques in Maharashtra Using Deep Learning Approaches DOI

Atharva Waingankar,

Dahryn Trivedi,

Sharvil Gangan

и другие.

Опубликована: Фев. 21, 2025

Язык: Английский

Процитировано

0

An Adjustable Robust Optimization Model Under Dynamic Informer-Based Framework for Industrial Renewable Energy Systems DOI

Aoqun Ma,

Feifei Shen, Zhi Li

и другие.

Process Safety and Environmental Protection, Год журнала: 2025, Номер unknown, С. 107062 - 107062

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Hybrid ultra-short term solar irradiation forecasting using resource-efficient multi-step long-short term memory DOI Creative Commons
Lilla Barancsuk, Veronika Groma,

Barnabás Kocziha

и другие.

Renewable Energy, Год журнала: 2025, Номер unknown, С. 122962 - 122962

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Multi-grained adaptive informer for multi-step solar irradiance forecasting DOI
Xiang Ma,

Jianwei Wang,

Jing Huang

и другие.

Expert Systems with Applications, Год журнала: 2025, Номер unknown, С. 127412 - 127412

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Predictive control technique for solar photovoltaic power forecasting DOI Creative Commons
Nsilulu T. Mbungu, Safia Babikir Bashir, Neethu Elizabeth Michael

и другие.

Energy Conversion and Management X, Год журнала: 2024, Номер unknown, С. 100768 - 100768

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

3