A comprehensive survey on higher order neural networks and evolutionary optimization learning algorithms in financial time series forecasting

S Behera, SC Nayak, AVSP Kumar - Archives of Computational Methods …, 2023 - Springer
The financial market volatility has been a focus of study for experts over past decades. While
stockbrokers and investors expect reliable projections of future stock indices, it instead …

Control systems for low-inertia power grids: A survey on virtual power plants

DE Ochoa, F Galarza-Jimenez, F Wilches-Bernal… - IEEE …, 2023 - ieeexplore.ieee.org
Virtual Power Plants (VPPs) have emerged as a modern real-time energy management
architecture that seeks to synergistically coordinate an aggregation of renewable and non …

[HTML][HTML] Analyzing flexibility options for microgrid management from economical operational and environmental perspectives

A Dogan - International Journal of Electrical Power & Energy …, 2024 - Elsevier
Power grids have undergone a massive transformation due to increasing number of
renewable/non renewable distributed generators, storage technologies and electrical …

Ultra-short-term distributed PV power forecasting for virtual power plant considering data-scarce scenarios

Y Wang, W Fu, J Wang, Z Zhen, F Wang - Applied Energy, 2024 - Elsevier
Accurate forecasting of distributed photovoltaic (DPV) power plays a crucial role in enabling
a virtual power plant (VPP) to grasp its internal DPV characteristics and support the …

Machine Learning-Based Error Correction Codes and Communication Protocols for Power Line Communication: An Overview

TC Akinci, G Erdemir, AT Zengin, S Seker… - IEEE Access, 2023 - ieeexplore.ieee.org
This study endeavors to investigate the effectiveness of machine learning-based
methodologies in enhancing the performance and reliability of Power Line Communication …

[HTML][HTML] Real-Time Lithium Battery Aging Prediction Based on Capacity Estimation and Deep Learning Methods

J de la Vega, JR Riba, JA Ortega-Redondo - Batteries, 2023 - mdpi.com
Lithium-ion batteries are key elements in the development of electrical energy storage
solutions. However, due to cycling, environmental, and operating conditions, battery …

A Stochastic Decision-Making Tool Suite for Distributed Energy Resources Integration in Energy Markets

S Cantillo-Luna, R Moreno-Chuquen, D Celeita… - Energies, 2024 - mdpi.com
Energy markets are crucial for integrating Distributed Energy Resources (DER) into modern
power grids. However, this integration presents challenges due to the inherent variability …

Hierarchical Uncertainty Characterization of Monthly Net Load in Renewable Power Systems

X Yang, Y Li, Y Zhao, G Hao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The accurate characterization of net load uncertainty can ensure the economy and stability
of renewable power systems operation. In existing studies, Gaussian mixture model (GMM) …

Building a Resilient and Sustainable Grid: A Study of Challenges and Opportunities in AI for Smart Virtual Power Plants

MR Islam, L Vu, N Dhar, B Deng, K Suo - Proceedings of the 2024 ACM …, 2024 - dl.acm.org
In recent years, integrating distributed energy resources has emerged as a pervasive trend
in competitive energy markets. The idea of virtual power plants (VPPs) has gained traction …

A Machine Learning Forecast of Renewable Solar Power Generation and Analysis of Distribution and Management Using IOT-Based Sensor Data

M Sharma, TN Gongada, R Anand… - … Conference on Mobile …, 2023 - Springer
Consumption and generation of renewable energy play pivotal roles in global energy
dynamics, with an increasing emphasis on eco-friendly and sustainable practices. This …