Imagen de Portada

Risk-Aware Value-Oriented Net Demand Forecasting for Virtual Power Plants

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhang, Yufan, Han, Jiajun, Shi, Yuanyuan
Formato:	Preprint
Publicado:	2024
Materias:	Systems and Control
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Toward Value-oriented Renewable Energy Forecasting: An Iterative Learning Approach
por: Zhang, Yufan, et al.
Publicado: (2023)

Improving Sequential Market Coordination via Value-oriented Renewable Energy Forecasting
por: Zhang, Yufan, et al.
Publicado: (2024)

Risk-Aware Multi-Market Scheduling of Virtual Power Plants with Dynamic Network Tariffs
por: Zapparoli, Lorenzo, et al.
Publicado: (2026)

Ensemble-Based Peak Demand Probability Density Forecasting with Application to Risk-Aware Power System Scheduling
por: Yu, Buyi, et al.
Publicado: (2025)

Value-Oriented Forecast Combinations for Unit Commitment
por: Ghazanfariharandi, Mehrnoush, et al.
Publicado: (2025)

A Risk-aware Bi-level Bidding Strategy for Virtual Power Plant with Power-to-Hydrogen System
por: Yoo, Jaehyun, et al.
Publicado: (2025)

Distributionally Robust Model Predictive Control for Virtual Power Plants
por: Recke, Nikolas, et al.
Publicado: (2026)

e-Values for Real-Time Residential Electricity Demand Forecast Model Selection
por: Backhaus, Fabian, et al.
Publicado: (2024)

Power Reserve Capacity from Virtual Power Plants with Reliability and Cost Guarantees
por: Zapparoli, Lorenzo, et al.
Publicado: (2025)

Risk-Aware Safe Throughput Forecasting for Starlink Networks
por: Xie, Hongjun, et al.
Publicado: (2026)

Dynamic Virtual Power Plants with Robust Frequency Regulation Capability
por: Zhu, Xiang, et al.
Publicado: (2024)

Grid-Forming Control of Modular Dynamic Virtual Power Plants
por: He, Xiuqiang, et al.
Publicado: (2024)

A Stochastic Incentive-based Demand Response Program for Virtual Power Plant with Solar, Battery, Electric Vehicles, and Controllable Loads
por: Harsh, Pratik, et al.
Publicado: (2024)

Quantum-Key-Distribution Authenticated Aggregation and Settlement for Virtual Power Plants
por: Zhu, Ziqing
Publicado: (2025)

Efficient Demand Response Location Targeting for Price Spike Mitigation by Exploiting Price-demand Relationship
por: Zhang, Yufan, et al.
Publicado: (2022)

Flexible Robust Optimal Bidding of Renewable Virtual Power Plants in Sequential Markets
por: Nemati, Hadi, et al.
Publicado: (2024)

Fair Aggregation in Virtual Power Plants
por: Chen, Liudong, et al.
Publicado: (2026)

Grid-Forming and Spatially Distributed Control Design of Dynamic Virtual Power Plants
por: Häberle, Verena, et al.
Publicado: (2022)

Optimal Frequency Support from Virtual Power Plants: Minimal Reserve and Allocation
por: Zhu, Xiang, et al.
Publicado: (2025)

Learning for Feasible Region on Coal Mine Virtual Power Plants with Imperfect Information
por: Huang, Hongxu, et al.
Publicado: (2025)

Quantum Key Distribution for Virtual Power Plant Communication: A Lightweight Key-Aware Scheduler with Provable Stability
por: Zhu, Ziqing
Publicado: (2025)

Efficient Multi-Market Scheduling of Virtual Power Plants via Spectral Representation of Uncertainty
por: Zapparoli, Lorenzo, et al.
Publicado: (2026)

Coordinated Fast Frequency Regulation in Dynamic Virtual Power Plants via Disturbance Estimation
por: Ahmad, Saif, et al.
Publicado: (2025)

LSTM-Based Net Load Forecasting for Wind and Solar Power-Equipped Microgrids
por: Silva-Rodriguez, Jesus, et al.
Publicado: (2024)

Enhance Low-Carbon Power System Operation via Carbon-Aware Demand Response
por: Chen, Xin
Publicado: (2024)

A Prudent Framework for Understanding Risk-Awareness in Demand Response
por: Chen, Liudong, et al.
Publicado: (2024)

Robust Optimal Operation of Virtual Power Plants Under Decision-Dependent Uncertainty of Price Elasticity
por: Tan, Tao, et al.
Publicado: (2026)

Design of Grid Forming Multi Timescale Coordinated Control Strategies for Dynamic Virtual Power Plants
por: Tong, Yan, et al.
Publicado: (2026)

A Model-Predictive Control Method for Coordinating Virtual Power Plants and Packetized Resources, with Hardware-in-the-Loop Validation
por: Amini, Mahraz, et al.
Publicado: (2019)

Day-Ahead Offering for Virtual Power Plants: A Stochastic Linear Programming Reformulation and Projected Subgradient Method
por: Meng, Weiqi, et al.
Publicado: (2026)

Carbon-Aware Optimal Power Flow
por: Chen, Xin, et al.
Publicado: (2023)

A Process-Aware Demand Response Evaluation Framework for Hydrogen-Integrated Zero-Carbon Steel Plants Coupled with Methanol Production
por: Ji, Qiang, et al.
Publicado: (2026)

Decentralized Singular Value Decomposition for Large-scale Distributed Sensor Networks
por: Fan, Yufan, et al.
Publicado: (2024)

Machine Learning Infused Distributed Optimization for Coordinating Virtual Power Plant Assets
por: Li, Meiyi, et al.
Publicado: (2023)

Integration of Concentrated Solar Power Plants in Renewable-Only VPP with Electrical and Thermal Demands: A Two-Stage Robust Bidding Approach
por: Nemati, Hadi, et al.
Publicado: (2025)

Control-Oriented System Identification: Classical, Learning, and Physics-Informed Approaches
por: Sivaranjani, S., et al.
Publicado: (2025)

Upstream Allocation of Bidirectional Load Demand by Power Packetization
por: Mochiyama, Shiu, et al.
Publicado: (2024)

Structured Connectivity for 6G Reflex Arc: Task-Oriented Virtual User and New Uplink-Downlink Tradeoff
por: Fang, Xinran, et al.
Publicado: (2024)

Economic and Reliability Value of Improved Offshore Wind Forecasting in Bulk Power Grid Operation: A Case Study of The New York Power Grid
por: Walid, Khaled Bin, et al.
Publicado: (2025)

Single-level Robust Bidding of Renewable-only Virtual Power Plant in Energy and Ancillary Service Markets for Worst-case Profit
por: Nemati, Hadi, et al.
Publicado: (2024)