Multi-Objective energy management of Solar-Powered integrated energy system under forecast uncertainty based on a novel Dual-Layer correction framework
Authors:
- Xiang GaoXGXiang Gao
- Hua LinHLHua Lin
- Dengwei JingDJDengwei Jing
- Xiongwen ZhangXZXiongwen Zhang
- 31 August 2024
- journal article
- research article
- Published by Elsevier in Solar Energy
- Vol. 281
Abstract
No abstract availableKeywords
This publication has 49 references indexed in Scilit:
- Two-stage distributionally robust optimization model of integrated energy system group considering energy sharing and carbon transferApplied Energy, 2022
- Integrated sizing and scheduling of an off-grid integrated energy system for an isolated renewable energy hydrogen refueling stationApplied Energy, 2022
- Battery health-aware and naturalistic data-driven energy management for hybrid electric bus based on TD3 deep reinforcement learning algorithmApplied Energy, 2022
- A novel integrated stochastic programming-information gap decision theory (IGDT) approach for optimization of integrated energy systems (IESs) with multiple uncertaintiesApplied Energy, 2022
- Wasserstein and multivariate linear affine based distributionally robust optimization for CCHP-P2G scheduling considering multiple uncertaintiesApplied Energy, 2022
- Simulation-based performance evaluation of model predictive control for building energy systemsApplied Energy, 2021
- Benchmarking stochastic and deterministic MPC: A case study in stationary battery systemsAIChE Journal, 2019
- Comparison of different operation strategies for PV battery home storage systems including forecast-based operation strategiesApplied Energy, 2018
- Standardization of the rainflow counting method for fatigue analysisInternational Journal of Fatigue, 1994
- A new definition of the rainflow cycle counting methodInternational Journal of Fatigue, 1987