Automated control scheduling to improve the operative performance of smart renewable energy systems

[1]  Paolo Renna,et al.  A dynamic decision model for energy-efficient scheduling of manufacturing system with renewable energy supply , 2020 .

[2]  Wei Wang,et al.  A systematic method for the analysis of energy supply reliability in complex Integrated Energy Systems considering uncertainties of renewable energies, demands and operations , 2020 .

[3]  Peter B. Luh,et al.  Markovian-based stochastic operation optimization of multiple distributed energy systems with renewables in a local energy community , 2020, Electric Power Systems Research.

[4]  Muhammad Ibrahim,et al.  Machine learning driven smart electric power systems: Current trends and new perspectives , 2020 .

[5]  Junting Wang,et al.  Control of SMES systems in distribution networks with renewable energy integration: A perturbation estimation approach , 2020 .

[6]  Mohammad Hassan Khooban,et al.  A Novel Predictive Fuzzy Logic-Based Energy Management System for Grid-Connected and Off-Grid Operation of Residential Smart Microgrids , 2020, IEEE Journal of Emerging and Selected Topics in Power Electronics.

[7]  Samaher Al-Janabi,et al.  An Innovative synthesis of deep learning techniques (DCapsNet & DCOM) for generation electrical renewable energy from wind energy , 2020, Soft Computing.

[8]  Xavier Hesselbach,et al.  NFV/SDN Enabled Architecture for Efficient Adaptive Management of Renewable and Non-Renewable Energy , 2020, IEEE Open Journal of the Communications Society.

[9]  Mehdi Abapour,et al.  Day-ahead profit-based reconfigurable microgrid scheduling considering uncertain renewable generation and load demand in the presence of energy storage , 2020 .

[10]  Jianhua Zhang,et al.  Optimal energy management strategy in microgrids with mixed energy resources and energy storage system , 2020, IET Cyper-Phys. Syst.: Theory & Appl..

[11]  Nitesh Funde,et al.  CLOES: cross-layer optimal energy scheduling mechanism in a smart distributed multi-microgrid system , 2020, Journal of Ambient Intelligence and Humanized Computing.

[12]  Marijana Zekić-Sušac,et al.  Machine learning based system for managing energy efficiency of public sector as an approach towards smart cities , 2020, Int. J. Inf. Manag..

[13]  Yachao Zhang,et al.  Two-Stage Stochastic Programming Scheduling Model for Hybrid AC/DC Distribution Network Considering Converters and Energy Storage System , 2019 .

[14]  Rachid Bannari,et al.  Multiobjective Scheduling-based Energy Management System Considering Renewable Energy and Energy Storage Systems: A Case Study and Experimental Result , 2019, Journal of Control, Automation and Electrical Systems.

[15]  Victor C. M. Leung,et al.  Energy Utilization-Aware Operation Control Algorithm in Energy Harvesting Base Stations , 2019, IEEE Internet of Things Journal.

[16]  Hoay Beng Gooi,et al.  Distributed Robust Energy Management of a Multi-Microgrid System in the Real-Time Energy Market , 2019, 2019 IEEE Power & Energy Society General Meeting (PESGM).

[17]  Osama A. Mohammed,et al.  Data-Centric Hierarchical Distributed Model Predictive Control for Smart Grid Energy Management , 2019, IEEE Transactions on Industrial Informatics.

[18]  Robert J. Brecha,et al.  Large scale residential energy efficiency prioritization enabled by machine learning , 2019, Energy Efficiency.

[19]  P. Mohamed Shakeel,et al.  An energy persistent Range-dependent Regulated Transmission Communication model for vehicular network applications , 2019, Comput. Networks.

[20]  Dylan Dah-Chuan Lu,et al.  Development of a Fuzzy-Logic-Based Energy Management System for a Multiport Multioperation Mode Residential Smart Microgrid , 2019, IEEE Transactions on Power Electronics.

[21]  Gengyin Li,et al.  Model and application of renewable energy accommodation capacity calculation considering utilization level of inter-provincial tie-line , 2019, Protection and Control of Modern Power Systems.

[22]  Eklas Hossain,et al.  Application of Big Data and Machine Learning in Smart Grid, and Associated Security Concerns: A Review , 2019, IEEE Access.

[23]  Jorge Velasquez.  Methodology for controller interaction assessment in distribution networks with a high share of renewable energy , 2018, Energy Inform..

[24]  Jian Xu,et al.  A bi-level scheduling model for virtual power plants with aggregated thermostatically controlled loads and renewable energy , 2018, Applied Energy.

[25]  Kai Sun,et al.  A Novel Generation Rescheduling Algorithm to Improve Power System Reliability With High Renewable Energy Penetration , 2018, IEEE Transactions on Power Systems.

[26]  Nikolaos Gatsis,et al.  Robust Control for Renewable-Integrated Power Networks Considering Input Bound Constraints and Worst Case Uncertainty Measure , 2018, IEEE Transactions on Control of Network Systems.

[27]  Juan Liu,et al.  Electricity scheduling strategy for home energy management system with renewable energy and battery storage: a case study , 2017 .

[28]  Min Dong,et al.  Real-Time Residential-Side Joint Energy Storage Management and Load Scheduling With Renewable Integration , 2015, IEEE Transactions on Smart Grid.

[29]  Hoay Beng Gooi,et al.  Distributed Robust Energy Management of a Multimicrogrid System in the Real-Time Energy Market , 2019, IEEE Transactions on Sustainable Energy.