Statistic Determination of Storage Capacity for Photovoltaic Energy Imbalance Mitigation

[1]  Cristina Cornaro,et al.  Model output statistics cascade to improve day ahead solar irradiance forecast , 2015 .

[2]  Remus Teodorescu,et al.  Lifetime and economic analyses of lithium‐ion batteries for balancing wind power forecast error , 2015 .

[3]  Gerard Ledwich,et al.  Improving voltage profile of residential distribution systems using rooftop PVs and Battery Energy Storage systems , 2014 .

[4]  Jan Kleissl,et al.  Energy dispatch schedule optimization for demand charge reduction using a photovoltaic-battery storage system with solar forecasting , 2014 .

[5]  V. Rudolf,et al.  Financial analysis of utility scale photovoltaic plants with battery energy storage , 2013 .

[6]  Vladimir Strezov,et al.  Assessment of utility energy storage options for increased renewable energy penetration , 2012 .

[7]  M. Ragwitz,et al.  Status and perspectives of renewable energy policy and deployment in the European Union—What is needed to reach the 2020 targets? , 2011 .

[8]  D. Chattopadhyay,et al.  Scale Efficient Network Development to Support Renewable Generation Development , 2011, IEEE Transactions on Sustainable Energy.

[9]  Dominik Möst,et al.  Renewable energy sources in European energy supply and interactions with emission trading , 2010 .

[10]  Marcio Eisencraft,et al.  Spectral properties of chaotic signals with applications in communications , 2009 .

[11]  S. Bhattacharya,et al.  Control Strategies for Battery Energy Storage for Wind Farm Dispatching , 2009, IEEE Transactions on Energy Conversion.

[12]  M. O'Malley,et al.  Unit Commitment for Systems With Significant Wind Penetration , 2009, IEEE Transactions on Power Systems.

[13]  A. Llombart,et al.  Statistical Analysis of Wind Power Forecast Error , 2008, IEEE Transactions on Power Systems.

[14]  Pierre Pinson,et al.  Standardizing the Performance Evaluation of Short-Term Wind Power Prediction Models , 2005 .

[15]  Cristina Cornaro,et al.  Master optimization process based on neural networks ensemble for 24-h solar irradiance forecast , 2015 .