Results 41 to 50 of about 588 (169)

Research on Multi‐Time‐Scale Coordinated Operation Control of Virtual Power Plant Clusters Based on Quantum‐Behaved Particle Swarm Optimization

Engineering Reports, Volume 8, Issue 7, July 2026.
This paper uses quantum particle swarm optimization for virtual power plant cluster operation control. It divides the cluster, constructs models, and the method can effectively reduce system frequency deviation and optimize operation cost. ABSTRACT The information exchange and coordinated control among multiple virtual power plants (VPPs) are ...
Mingyu Zhou, Yunlong He
wiley   +1 more source

A Novel Virtual Power Plant Uncertainty Modeling Framework Using Unscented Transform

Energies, 2022
This paper proposes a new strategy for modeling predictability uncertainty in a stochastic context for decision making within a Virtual Power Plant (VPP).
Lucas Feksa Ramos, Luciane Neves Canha, Josue Campos do Prado, Leonardo Rodrigues Araujo Xavier de Menezes   +3 more
doaj   +1 more source

Application of Deep Learning in Virtual Power Plants—A Review

Energy Internet, Volume 3, Issue 2, Page 97-110, July 2026.
ABSTRACT The advancement of deep learning (DL) has substantially improved the power grid’s ability to model and optimise diverse and highly complex tasks. Although intelligent transformation is an inevitable trend, traditional approaches increasingly reveal limitations in computational efficiency, nonlinear nonconvex optimisation, and multi‐layer ...
Hongjie Zhu, Zezhen Zhang, Yang Gao, Xiao Hu, Ying Cai, Yunqi Wang, Qin Wang, Qian Ai   +7 more
wiley   +1 more source

Optimal Scheduling of Virtual Power Plant with Flexibility Margin Considering Demand Response and Uncertainties

Energies, 2023
The emission reduction of global greenhouse gases is one of the key steps towards sustainable development. Demand response utilizes the resources of the demand side as an alternative of power supply which is very important for the power network balance ...
Yetuo Tan, Yongming Zhi, Zhengbin Luo, Honggang Fan, Jun Wan, Tao Zhang   +5 more
doaj   +1 more source

Low‐Carbon Optimal Scheduling of Multiple Virtual Power Plants Based on Asymmetric Nash Bargaining

Energy Science &Engineering, Volume 14, Issue 6, Page 2874-2896, June 2026.
ABSTRACT To effectively investigate the structural discrepancies and complementary energy characteristics among multiple virtual power plants (VPPs), and to improve the economic efficiency, low‐carbon performance, and operational reliability of the multi‐agent system, this paper proposes a low‐carbon collaborative optimal operation strategy for ...
Junjie Qiu, Min Liu, Yang Peng, Haiqiang Zhao, Yuanda Wu, Yongyuan Tian   +5 more
wiley   +1 more source

Performance of a Deep Learning Algorithm for Melanoma Classification Across Diverse Dermoscopic and Tele‐Dermatology Datasets

JEADV Clinical Practice, Volume 5, Issue 2, Page 478-485, June 2026.
ABSTRACT Background Early detection of melanoma significantly boosts patient survival rates. Deep learning has demonstrated dermatologist‐level accuracy in assessing pigmented skin lesions by analysing images at the pixel level. However, these neural networks may face challenges with ‘real‐life’ images due to limited training data and image artefacts ...
Marianne Zanchetta, Fanny Gohard, Casandra Coltoiu, Sarah Le Naour, Marie Le Moigne, Valérie Pham‐Huu, Nicole Cochelin, Edmond Demoulins, Bryan Boule, Thibault Maho, Léonie Schroder, Nicolas Diris, Gaëlle Quereux, Brigitte Dreno, Lise Boussemart, Javier Saenz   +15 more
wiley   +1 more source

Empowering net zero energy grids: a comprehensive review of virtual power plants, challenges, applications, and blockchain integration

Discover Applied Sciences
Energy is the basic prerequisite of any industry, but global warming, climate change, and pollution are increasing due to digitization and industrialization.
Aakanksha Bedi, J. Ramprabhakar, R. Anand, V. P. Meena, Ibrahim A. Hameed   +4 more
doaj   +1 more source

Review and Prospects of Artificial Intelligence Technology in Virtual Power Plants

Energies
With the rapid development of global renewable energy, the virtual power plant (VPP), as an emerging power management model, has attracted increasing attention. Traditional manual management is difficult to effectively deal with because of the complexity
Xinxing Liu, Ciwei Gao
doaj   +1 more source

Virtual Power Plant Participates in the Two-Level Decision-Making Optimization of Internal Purchase and Sale of Electricity and External Multi-Market

IEEE Access, 2021
The power industry’s participation in carbon trading and green certificate trading is an effective market-based approach to solve the negative externalities of power production.
W. Hongliang, L. Benjie, P. Daoxin, W. Ling   +3 more
doaj   +1 more source

Full‐stage risk management of forecast deviation for large‐scale renewable energy participating in the spot market

Energy Conversion and Economics, Volume 7, Issue 3, Page 221-240, June 2026.
Abstract Against the backdrop of renewable energy achieving full market integration, renewable energy forecasting deviations have become a critical bottleneck constraining the clearing efficiency of electricity spot markets, hindering the rational allocation of costs, and threatening the secure operation of the power system.
Sicheng Xu, Ruoyi Zhang, Jingwei Chen, Si Zhang, Li Yang, Zhenzhi Lin   +5 more
wiley   +1 more source