000 02885nam a22003735i 4500
001 309758
003 MX-SnUAN
005 20160429160322.0
007 cr nn 008mamaa
008 150903s2009 gw | o |||| 0|eng d
020 _a9783790820683
_99783790820683
024 7 _a10.1007/9783790820683
_2doi
035 _avtls000363152
039 9 _a201509030635
_bVLOAD
_c201405070339
_dVLOAD
_y201402211140
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aHD9502-9502.5
100 1 _aWeidlich, Anke.
_eautor
_9340467
245 1 0 _aEngineering Interrelated Electricity Markets :
_bAn Agent-Based Computational Approach /
_cby Anke Weidlich.
264 1 _aHeidelberg :
_bPhysica-Verlag HD,
_c2009.
300 _axxii, 174 páginas 68 ilustraciones
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aContributions to Management Science,
_x1431-1941
500 _aSpringer eBooks
505 0 _aMotivation and Fundamentals -- Wholesale Electricity and Emissions Trading -- Agent-Based Computational Economics -- An Agent-Based Simulation Model for Interrelated Electricity Markets -- Representation of Learning and Adaptation -- The Electricity Sector Simulation Model -- Application, Evaluation and Discussion -- Simulation Scenarios and Results -- Conclusion and Outlook.
520 _aDue to the characteristics of electricity, power markets rank among the most complex markets operated at present. The requirements of an environmentally sustainable, economically efficient, and secure energy supply have resulted in the emergence of several interrelated markets that have to be carefully engineered in order to ensure efficient market outcomes. This book presents an agent-based simulation model that facilitates electricity market research. Simulation outcomes from this model are validated against price data from German power markets. The results significantly contribute to existing research in agent-based simulation and electricity market modeling, and provide insights into the impact of the market structure and market design on electricity prices. The book addresses researchers, lecturers and students who are interested in applying agent-based simulation to power markets. It provides a thorough discussion of the methodology and helpful details for model implementation.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9783790820676
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-7908-2068-3
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999 _c309758
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