A Cellular Approach to Net-Zero Energy Cities
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Miguel P. Amado | Francesca Poggi | António Ribeiro Amado | Sílvia Breu | S. Breu | M. Amado | F. Poggi | A. Amado
[1] Adam Okulicz-Kozaryn,et al. The city size distribution debate: Resolution for US urban regions and megalopolitan areas , 2012 .
[2] Whei-Min Lin,et al. Energy Management Strategy for Microgrids by Using Enhanced Bee Colony Optimization , 2015 .
[3] Scott Samuelsen,et al. The importance of grid integration for achievable greenhouse gas emissions reductions from alternative vehicle technologies , 2015 .
[4] Peter Lund,et al. Urban energy systems with smart multi-carrier energy networks and renewable energy generation , 2012 .
[5] Baris Baykant Alagoz,et al. Renewable energy integration for smart sites , 2013 .
[6] Sauro Longhi,et al. Fuzzy logic home energy consumption modeling for residential photovoltaic plant sizing in the new Italian scenario , 2014 .
[7] D. Robinson. Urban morphology and indicators of radiation availability , 2006 .
[8] Gunn Larsen,et al. Power supply-demand balance in a Smart Grid: An information sharing model for a market mechanism , 2014 .
[9] Pedro Nunes,et al. The feasibility of solar parking lots for electric vehicles , 2017 .
[10] R. P. van Leeuwen,et al. Review of urban energy transition in the Netherlands and the role of smart energy management , 2017 .
[11] Rosario Gil,et al. Smart Grid: Assessment of the past and present in developed and developing countries , 2017 .
[12] Mark Rylatt,et al. GIS-based decision support for solar energy planning in urban environments , 2001 .
[13] Andrea E. Gaughan,et al. A fine-scale spatial population distribution on the High-resolution Gridded Population Surface and application in Alachua County, Florida , 2014 .
[14] Enrique Personal,et al. Key performance indicators: A useful tool to assess Smart Grid goals , 2014 .
[15] Miguel P. Amado,et al. Solar Energy Integration in Urban Planning: GUUD Model☆ , 2014 .
[16] Andrés Manuel García,et al. Cellular automata models for the simulation of real-world urban processes: A review and analysis , 2010 .
[17] M. Braun,et al. Time in the Sun: The Challenge of High PV Penetration in the German Electric Grid , 2013, IEEE Power and Energy Magazine.
[18] Agis M. Papadopoulos,et al. Assessment of retrofitting measures and solar systems' potential in urban areas using Geographical Information Systems: Application to a Mediterranean city , 2012 .
[19] Sérgio Freire,et al. Applications of solar mapping in the urban environment , 2014 .
[20] Yao Zhang,et al. A survey on the development status and challenges of smart grids in main driver countries , 2017 .
[21] M. Batty,et al. Modeling urban dynamics through GIS-based cellular automata , 1999 .
[22] Karsten Voss,et al. Net zero energy buildings: A consistent definition framework , 2012 .
[23] Alexis Kwasinski,et al. Experimental and data collection methods for a large-scale smart grid deployment: Methods and first results , 2014 .
[24] Q. Jiang,et al. Energy Management of Microgrid in Grid-Connected and Stand-Alone Modes , 2013, IEEE Transactions on Power Systems.
[25] Liu Yang,et al. Zero energy buildings and sustainable development implications – A review , 2013 .
[26] C. Ratti,et al. Energy consumption and urban texture , 2005 .
[27] J. Byrne,et al. A review of the solar city concept and methods to assess rooftop solar electric potential, with an illustrative application to the city of Seoul , 2015 .
[28] Philipp Rode,et al. Cities and Energy: Urban Morphology and Residential Heat-Energy Demand , 2014 .
[29] Roger White,et al. Cities and cellular automata , 1998 .
[30] Gordon Walker,et al. What are the barriers and incentives for community-owned means of energy production and use? , 2008 .
[31] Fabrizio Giulio Luca Pilo,et al. The Italian smart grid pilot projects: Selection and assessment of the test beds for the regulation of smart electricity distribution , 2015 .
[32] Palash Sarkar,et al. A brief history of cellular automata , 2000, CSUR.
[33] Keith C. Clarke,et al. Loose-Coupling a Cellular Automaton Model and GIS: Long-Term Urban Growth Prediction for San Francisco and Washington/Baltimore , 1998, Int. J. Geogr. Inf. Sci..
[34] Roger White,et al. The Use of Constrained Cellular Automata for High-Resolution Modelling of Urban Land-Use Dynamics , 1997 .
[35] Jin Wen,et al. Net-zero energy building clusters emulator for energy planning and operation evaluation , 2017, Comput. Environ. Urban Syst..
[36] Lavalle Carlo,et al. The MOLAND Model for Urban and Regional Growth Forecast. A tool for the Definition of Sustainable Development Paths. , 2004 .
[37] Miguel P. Amado,et al. Towards Solar Urban Planning: A New Step for Better Energy Performance , 2012 .
[38] Keith C. Clarke,et al. A Self-Modifying Cellular Automaton Model of Historical Urbanization in the San Francisco Bay Area , 1997 .
[39] Peter Braithwaite,et al. A comparison of energy systems in Birmingham, UK, with Masdar City, an embryonic city in Abu Dhabi Emirate , 2016 .
[40] Gabriele Lobaccaro,et al. Solar Energy in Urban Environment: How Urban Densification Affects Existing Buildings☆ , 2014 .
[41] M. Batty,et al. Building a science of cities , 2012 .
[42] Koen Steemers,et al. Building form and environmental performance: archetypes, analysis and an arid climate , 2003 .
[43] T. Schlegl,et al. An optimized energy system planning and operation on distribution grid level—The Decentralized Market Agent as a novel approach , 2017 .
[44] Apostolos Lagarias,et al. Urban sprawl simulation linking macro-scale processes to micro-dynamics through cellular automata, an application in Thessaloniki, Greece , 2012 .
[45] Kashem M. Muttaqi,et al. Technical challenges for electric power industries due to grid-integrated electric vehicles in low voltage distributions: A review , 2014 .
[46] Miguel P. Amado,et al. Solar urban planning: a parametric approach , 2014 .
[47] Will Gans,et al. Smart Meter Devices and the Effect of Feedback on Residential Electricity Consumption: Evidence from a Natural Experiment in Northern Ireland , 2011 .