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A systems approach for management of microgrids considering multiple energy carriers, stochastic loads, forecasting and demand side response

机译：考虑多种能量载波，随机载荷，预测和需求侧反应的微普林管理系统方法

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Damian Giaouris; Athanasios I. Papadopoulos; Charalampos Patsios; Sara Walker; Chrysovalantou Ziogou; Phil Taylor; Spyros Voutetakis; Simira Papadopoulou; Panos Seferlis;
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1. A systems approach for management of microgrids considering multiple energy carriers, stochastic loads, forecasting and demand side response [J] . Damian Giaouris, Athanasios I. Papadopoulos, Charalampos Patsios, Applied Energy . 2018,第SEPa15期

机译：考虑多种能量载体，随机负荷，预测和需求侧响应的微电网管理系统方法
2. Integration of designing price-based demand response models into a stochastic bi-level scheduling of multiple energy carrier microgrids considering energy storage systems [J] . Nikzad Mehdi, Samimi Abouzar Applied Energy . 2021,第Pta1期

机译：考虑能量存储系统，将基于价格为基于需求响应模型设计为多能量载体微普林的随机双级调度
3. Stochastic day-ahead scheduling of multiple energy Carrier microgrids with demand response [J] . Shams Mohammad H., Shahabi Majid, Khodayar Mohammad E. Energy . 2018,第jula15期

机译：具有需求响应的多个能量载体微电网的随机提前日调度
4. Including smart loads for optimal demand response in integrated energy management systems for isolated microgrids [C] . Bharatkumar Solanki, Akash Raghurajan, Kankar Bhattacharya, IEEE Power and Energy Society General Meeting . 2017

机译：在孤立的微电网的集成能源管理系统中包括智能负载，以实现最佳需求响应
5. Load forecasting and demand response management in distribution grid with high renewable energy penetration. [D] . Reihani, Ehsan. 2015

机译：具有高可再生能源渗透率的配电网中的负荷预测和需求响应管理。
6. A Multi-Objective Demand Response Optimization Model for Scheduling Loads in a Home Energy Management System [O] . Jaclason M. Veras, Igor Rafael S. Silva, Plácido R. Pinheiro, 2018

机译：家庭能源管理系统中负荷调度的多目标需求响应优化模型
7. Optimal energy management system based on stochastic approach for a home Microgrid with integrated responsive load demand and energy storage [O] . Marzband, Mousa, Alavi, Hamed, Ghazimirsaeid, Seyedeh Samaneh, 2017

机译：基于随机方法的家用微电网最优能量管理系统，具有集成的响应负载需求和能量存储

A systems approach for management of microgrids considering multiple energy carriers, stochastic loads, forecasting and demand side response

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