Smart Meter Data Based Load Forecasting and Demand Side Management in Distribution Networks With Embedded PV Systems
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[1] Vahid Vahidinasab,et al. Customer baseline load models for residential sector in a smart-grid environment , 2016 .
[2] Ahmad Faruqui,et al. Unlocking the €53 Billion Savings from Smart Meters in the EU - How Increasing the Adoption of Dynamic Tariffs Could Make or Break the EU’s Smart Grid Investment , 2009 .
[3] Peter Cappers,et al. Demand Response for Ancillary Services , 2013, IEEE Transactions on Smart Grid.
[4] Jianhong Wu,et al. Data clustering - theory, algorithms, and applications , 2007 .
[5] Jose Manuel Cejudo-Lopez,et al. Selection of typical demand days for CHP optimization , 2011 .
[6] Jaime Lloret,et al. A Survey on Electric Power Demand Forecasting: Future Trends in Smart Grids, Microgrids and Smart Buildings , 2014, IEEE Communications Surveys & Tutorials.
[7] Mohsen Kia,et al. Simultaneous implementation of optimal Demand Response and security constrained Unit Commitment , 2011, 16th Electrical Power Distribution Conference.
[8] Goran Strbac,et al. Demand side management: Benefits and challenges ☆ , 2008 .
[9] Glenis,et al. UK Climate Projections science report: Projections of future daily climate for the UK from the Weather Generator , 2009 .
[10] Amir Abdollahi,et al. Investigation of Market-Based Demand Response Impacts on Security-Constrained Preventive Maintenance Scheduling , 2015, IEEE Systems Journal.
[11] J. Torriti,et al. Price-based demand side management: Assessing the impacts of time-of-use tariffs on residential electricity demand and peak shifting in Northern Italy , 2012 .
[12] Thillainathan Logenthiran,et al. Demand Side Management in Smart Grid Using Heuristic Optimization , 2012, IEEE Transactions on Smart Grid.
[13] B.D. Pitt,et al. Application of data mining techniques to load profiling , 1999, Proceedings of the 21st International Conference on Power Industry Computer Applications. Connecting Utilities. PICA 99. To the Millennium and Beyond (Cat. No.99CH36351).
[14] Peter Palensky,et al. Demand Side Management: Demand Response, Intelligent Energy Systems, and Smart Loads , 2011, IEEE Transactions on Industrial Informatics.
[15] M. Moradi-Dalvand,et al. Optimal Design of Multicarrier Energy Systems Considering Reliability Constraints , 2015, IEEE Transactions on Power Delivery.
[16] Wil L. Kling,et al. Decentralized Resource Allocation and Load Scheduling for Multicommodity Smart Energy Systems , 2015, IEEE Transactions on Sustainable Energy.
[17] Jong-Keun Park,et al. A Multi-Energy System Expansion Planning Method Using a Linearized Load-Energy Curve: A Case Study in South Korea , 2017 .
[18] Zafar A. Khan,et al. An Innovative Methodology for Load and Generation Modelling in a Reliability Assessment with PV and Smart Meter Readings , 2018, 2018 IEEE Power & Energy Society General Meeting (PESGM).
[19] Abdullah Abusorrah,et al. Optimal Expansion Planning of Energy Hub With Multiple Energy Infrastructures , 2015, IEEE Transactions on Smart Grid.
[20] Pierluigi Mancarella,et al. Flexible Distributed Multienergy Generation System Expansion Planning Under Uncertainty , 2016, IEEE Transactions on Smart Grid.
[21] Zafar A. Khan,et al. A novel approach for load profiling in smart power grids using smart meter data , 2018, Electric Power Systems Research.
[22] Ljupco Kocarev,et al. Deep belief network based electricity load forecasting: An analysis of Macedonian case , 2016 .
[23] Danny Pudjianto,et al. Work package 2 Impact analysis of increasing (intermittent) RES and DG penetration in the electricity system , 2007 .