Load forecasting in the short-term scheduling of DERs
暂无分享,去创建一个
Weicong Kong | Zhao Yang Dong | Fengji Luo | Jiajia Yang | Z. Dong | Weicong Kong | Jiajia Yang | Fengji Luo
[1] S. Chowdhury,et al. Planned Scheduling for Economic Power Sharing in a CHP-Based Micro-Grid , 2012, IEEE Transactions on Power Systems.
[2] Zhao Yang Dong,et al. Stochastic Residential Energy Management System with Vehicle-to-Home and Photovoltaic Penetration , 2018, 2018 IEEE Power & Energy Society General Meeting (PESGM).
[3] P. Cramton. Electricity market design , 2017 .
[4] Mohammad Yusri Hassan,et al. A review on applications of ANN and SVM for building electrical energy consumption forecasting , 2014 .
[5] David J. Hill,et al. An Extensible Approach for Non-Intrusive Load Disaggregation With Smart Meter Data , 2018, IEEE Transactions on Smart Grid.
[6] Yoshua Bengio,et al. Learning long-term dependencies with gradient descent is difficult , 1994, IEEE Trans. Neural Networks.
[7] David J. Hill,et al. Short-Term Residential Load Forecasting Based on Resident Behaviour Learning , 2018, IEEE Transactions on Power Systems.
[8] Zhao Xu,et al. Optimal operation scheduling for microgrid with high penetrations of solar power and thermostatically controlled loads , 2016 .
[9] Naomi S. Altman,et al. Quantile regression , 2019, Nature Methods.
[10] S. M. Moghaddas-Tafreshi,et al. Bidding Strategy of Virtual Power Plant for Participating in Energy and Spinning Reserve Markets—Part I: Problem Formulation , 2011, IEEE Transactions on Power Systems.
[11] Remus Teodorescu,et al. Index-Based Assessment of Voltage Rise and Reverse Power Flow Phenomena in a Distribution Feeder Under High PV Penetration , 2015, IEEE Journal of Photovoltaics.
[12] H. Saboori,et al. Virtual Power Plant (VPP), Definition, Concept, Components and Types , 2011, 2011 Asia-Pacific Power and Energy Engineering Conference.
[13] Peter Palensky,et al. Demand Side Management: Demand Response, Intelligent Energy Systems, and Smart Loads , 2011, IEEE Transactions on Industrial Informatics.
[14] Steven R. Weller,et al. An optimization-based approach to scheduling residential battery storage with solar PV: Assessing customer benefit , 2015 .
[15] Robert I. Egbert,et al. Short term electric load forecasting via fuzzy neural collaboration , 2000 .
[16] Yoshua Bengio,et al. Gradient Flow in Recurrent Nets: the Difficulty of Learning Long-Term Dependencies , 2001 .
[17] Zhao Yang Dong,et al. A Decentralized Distribution Market Mechanism Considering Renewable Generation Units With Zero Marginal Costs , 2020, IEEE Transactions on Smart Grid.
[18] Saifur Rahman,et al. Grid Integration of Electric Vehicles and Demand Response With Customer Choice , 2012, IEEE Transactions on Smart Grid.
[19] Marko Viiding,et al. The dangers of marginal cost based electricity pricing , 2013 .
[20] Kyung-Bin Song,et al. An Optimal Power Scheduling Method for Demand Response in Home Energy Management System , 2013, IEEE Transactions on Smart Grid.
[21] Jürgen Schmidhuber,et al. Learning to Forget: Continual Prediction with LSTM , 2000, Neural Computation.
[22] Farrokh Aminifar,et al. Microgrid Scheduling With Uncertainty: The Quest for Resilience , 2016, IEEE Transactions on Smart Grid.
[23] Fushuan Wen,et al. A Distribution Market Clearing Mechanism for Renewable Generation Units With Zero Marginal Costs , 2019, IEEE Transactions on Industrial Informatics.
[24] Mehdi Khashei,et al. A novel hybridization of artificial neural networks and ARIMA models for time series forecasting , 2011, Appl. Soft Comput..
[25] Pascal Van Hentenryck,et al. Residential Demand Response under Uncertainty , 2013, CP.
[26] Zhi Chen,et al. Residential Appliance DR Energy Management With Electric Privacy Protection by Online Stochastic Optimization , 2013, IEEE Transactions on Smart Grid.
[27] Weicong Kong,et al. Optimal Home Energy Management System With Demand Charge Tariff and Appliance Operational Dependencies , 2020, IEEE Transactions on Smart Grid.
[28] V. S. K. Murthy Balijepalli,et al. An Effective Model for Demand Response Management Systems of Residential Electricity Consumers , 2016, IEEE Systems Journal.
[29] Zhao Yang Dong,et al. Coordinated residential energy resource scheduling with human thermal comfort modelling and renewable uncertainties , 2019, IET Generation, Transmission & Distribution.
[30] Lingyang Song,et al. Residential Load Scheduling in Smart Grid: A Cost Efficiency Perspective , 2016, IEEE Transactions on Smart Grid.
[31] Scott W. Kennedy,et al. A Novel Demand Response Model with an Application for a Virtual Power Plant , 2015, IEEE Transactions on Smart Grid.
[32] Amin Khodaei,et al. Resiliency-Oriented Microgrid Optimal Scheduling , 2014, IEEE Transactions on Smart Grid.
[33] Stephen P. Boyd,et al. Dynamic Network Energy Management via Proximal Message Passing , 2013, Found. Trends Optim..
[34] Kenneth J. Christensen,et al. Think Globally, Distribute Power Locally: The Promise of Nanogrids , 2012, Computer.
[35] Iain MacGill,et al. What cost for more renewables? The incremental cost of renewable generation { an Australian National Electricity Market case study , 2016 .
[36] Zhao Yang Dong,et al. A Penalty Scheme for Mitigating Uninstructed Deviation of Generation Outputs From Variable Renewables in a Distribution Market , 2020, IEEE Transactions on Smart Grid.
[37] N. M. Muhamad Razali,et al. Profit-based optimal generation scheduling of a microgrid , 2010, 2010 4th International Power Engineering and Optimization Conference (PEOCO).
[38] Omid Abrishambaf,et al. Towards transactive energy systems: An analysis on current trends , 2019, Energy Strategy Reviews.
[39] Chuen-Sheng Cheng,et al. Identification of seasonal short-term load forecasting models using statistical decision functions , 1990 .
[40] Bruce Stephen,et al. Incorporating Practice Theory in Sub-Profile Models for Short Term Aggregated Residential Load Forecasting , 2017, IEEE Transactions on Smart Grid.
[41] Z. Dong,et al. Optimal Allocation of Energy Storage System for Risk Mitigation of DISCOs With High Renewable Penetrations , 2014, IEEE Transactions on Power Systems.
[42] Stephen P. Boyd,et al. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers , 2011, Found. Trends Mach. Learn..
[43] R.H. Lasseter,et al. Microgrid: a conceptual solution , 2004, 2004 IEEE 35th Annual Power Electronics Specialists Conference (IEEE Cat. No.04CH37551).
[44] Guo Chen,et al. A Fully Decentralized Distribution Market Mechanism Using ADMM , 2019, 2019 IEEE Power & Energy Society General Meeting (PESGM).
[45] Rui Zhang,et al. Short-term load forecasting of Australian National Electricity Market by an ensemble model of extreme learning machine , 2013 .
[46] Stephen Boyd,et al. Security Constrained Optimal Power Flow via proximal message passing , 2014, 2014 Clemson University Power Systems Conference.
[47] P. K. Ghosh,et al. Distributed generations scheduling in micro-grid considering CO2 emission cost , 2012, 2012 IEEE Power and Energy Society General Meeting.
[48] Weicong Kong,et al. A Practical Solution for Non-Intrusive Type II Load Monitoring Based on Deep Learning and Post-Processing , 2020, IEEE Transactions on Smart Grid.
[49] Yuan Zhang,et al. Cooperative distributed scheduling for storage devices in microgrids using dynamic KKT multipliers and consensus networks , 2015, 2015 IEEE Power & Energy Society General Meeting.
[50] Yuan Zhang,et al. Short-Term Residential Load Forecasting Based on LSTM Recurrent Neural Network , 2019, IEEE Transactions on Smart Grid.
[51] Ralph Masiello,et al. Distribution Markets , 2016, IEEE Power and Energy Magazine.