TY  - BOOK
AU  - Conejo,Antonio J.
AU  - Carrión,Miguel
AU  - Morales,Juan M.
ED  - SpringerLink (Online service)
TI  - Decision Making Under Uncertainty in Electricity Markets
T2  - International Series in Operations Research & Management Science,
SN  - 9781441974211
AV  - HD30.23 
U1  - 658.40301 23
PY  - 2010///
CY  - Boston, MA
PB  - Springer US
KW  - Economics
KW  - Operations research
KW  - Production of electric energy or power
KW  - Finance
KW  - Economics/Management Science
KW  - Operations Research/Decision Theory
KW  - Power Electronics, Electrical Machines and Networks
KW  - Financial Economics
KW  - Operations Research, Mathematical Programming
N1  - Electricity Markets -- Stochastic Programming Fundamentals -- Uncertainty Characterization via Scenarios -- Risk management -- Producer Pool Trading -- Pool Trading for Wind Power Producers -- Futures Market Trading for Producers -- Medium-Term Retailer Trading -- Energy Procurement by Consumers -- Market Clearing Considering Equipment Failures -- Market Clearing under Uncertainty: Wind Energy
N2  - Decision Making Under Uncertainty in Electricity Markets provides models and procedures to be used by electricity market agents to make informed decisions under uncertainty. These procedures rely on well established stochastic programming models, which make them efficient and robust. Particularly, these techniques allow electricity producers to derive offering strategies for the pool and contracting decisions in the futures market. Retailers use these techniques to derive selling prices to clients and energy procurement strategies through the pool, the futures market and bilateral contracting. Using the proposed models, consumers can derive the best energy procurement strategies using the available trading floors. The market operator can use the techniques proposed in this book to clear simultaneously energy and reserve markets promoting efficiency and equity. The techniques described in this book are of interest for professionals working on energy markets, and for graduate students in power engineering, applied mathematics, applied economics, and operations research
UR  - http://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-1-4419-7421-1
ER  -