Electric Power Market Program Hands-On LMP-Based Market Operation

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					Course Registration                                                        Wire Transfer
                                                                           By wire, the information follows:
                                                                           Account Name:      Decision Systems International                                                                                                         Electric Power
                                                                           Bank Name:         Wachovia Bank, N.A.
                                                                           Account No.:       2000-15010-296-6                                                                                                                       Market Program
□ H a n ds - O n L M P -B a s e d M a r k e t O pe r a t i o n             ABA Routing No.: 061-000-227
                                                                           Swift Code:        PNBPUS33
□ Hands-On Short-Term Load Forecasting and
      Applications to Price Forecasting                                    Check
                                                                           Make check payable to: “Decision Systems International.”
                                                                           Please send by airmail, or courier to DSI.
             ○ Atlanta                         ○ San Francisco
                                                                           Course Fee Coverage
○ Mr. ○ Miss ○ Mrs. ○ Ms. ○ Dr. ○ Other (write in):                        Course fees cover:
Family Name: ______________________________________                        • One copy of course notebook in hard copy and CD
                                                                           • One hour of private consultation of groups of two or
First/Middle Name(s): _______________________________                        more (or one half hour for individuals)
                                                                           • Daily lunch, continental breakfast, & refreshment breaks
Title: _____________________________________________                       • DSI Certificate of Participation and NERC and/or
                                                                             IACET Certificates (when applicable)
Organization: ______________________________________
                                                                           • Computer hardware for training at 2 participants per PC
Street Address: ____________________________________
__________________________________________________                         DSI courses are offered at hotels in locations with excellent                                                                                        Hands-on program for power
                                                                           evening dining, recreation and entertainment. In most cases                                                                                             marketers, traders, and
State: ______________             Zip (Postal) Code: _____________         blocks of rooms are reserved offering special rates for a limited                                                                                     ISO/RTO market operators
                                                                           time. Also, we may offer several hotel choices to fit your
Country : __________________________________________                                                                                                                                                                           based on leading simulators by
                                                                           budget. Check our website for reservation details.
                                                                                                                                                                                                                                       EPRI and DSI
TEL: ____________________________________________
                                                                           Cancellation Deadlines
FAX: _____________________________________________                         Deadlines for Participants: Full refund will be provided if
                                                                           cancellation by participant is received no later than four weeks                                                                                        Two Coordinated Courses
E-mail: ___________________________________________                        prior to course offering. No refund will be given otherwise, i.e.
                                                                           if cancellation is received within the four-week period before
INDVIDUAL COURSE FEE                                                       course start date, there is no refund. However, a substitute par-                                                                                   •    Hands-On LMP-Based Market
□ Group Rate (1)/Early Bird (2)                              $900 (US)     ticipant from same organization is allowed.                                                                                                              Operation
□ Individual Rate/Early Bird (2)                            $1,000 (US)
□ Individual Rate                                           $1,100 (US)
□ 2-Courses Discount                                            10%
                                                                           Cancellation by DSI: Although every attempt is made to offer                                                                                        •    Hands-On Short-Term Load
                                                                           a course, DSI reserves the right to cancel a course because of                                                                                           Forecasting and Applications to
                                                                           low registration. Decision to cancel is made four weeks before
   Group: two or more from same organization                                                                                                                                                                                        Price Forecasting
   Registration and payment must be received no     Total Due: _________   the course offering. DSI’s liability is limited to full refund of
later than 4 weeks prior to course starting date.                          paid registration fees.

                                                                                                                                                        Decision Systems Inte rnat ional
                                                                                                                                                                                                                                    Earn Continuing Education
PAYMENT METHODS                                                                                                                                                                                                                              Credits
                                                                           In-House and Customized Training
Credit Card (US Dollars only)
                                                                           In-house training at utility facility:

                                                                                                                                                        30 60 P eacht re e Ro ad, NW

                                                                                                                                                                                           Em ai l: info@ ds ip o wer .com
□ AmEx □ MasterCard □ Visa □ EuroCard □ JCB

                                                                                                                                                                                           W eb : w w w. ds ip o w er .c o m
                                                                           • Maximum number of participants: 16                                                                                                                                DECISION SYSTEMS

                                                                                                                                                        A tlan ta, G A 30 305 , U SA
                                                                           • Customer provides one PC for every two participants. DSI will load

                                                                                                                                                                                           Ph one: 4 04 -5 04-3 65 2
Name Shown on Card: ______________________________                                                                                                                                                                                             INTERNATIONAL
                                                                              and test software. Alternatively DSI provides the PCs for the duration

                                                                                                                                                                                           F ax: 404 -50 4-36 51
Card No.: _________________________________________                           of the training at nominal additional charge for shipping and handling.
                                                                           • Cost: $5,000 per day of training exclusive of travel costs of speakers.
                                                                                                                                                        Sui te 14 62

                                                                                                                                                                                                                                         Atlanta, Georgia, USA
                                                                           Customized training using utility’s power system network and system:                                                                                 
Authorizing Signature: _______________________________                     • Contact DSI OTS Service Center for details (
                                                                         Hands-On LMP-Based                          Hands-On Short-Term Load Forecasting
Program Goals                                                                                                                                                                Speaker and Program Developer
                                                                           Market Operation                            & Applications to Price Forecasting
This 2-course program is intended to immerse the par-                                                                                                                        Dr. A. S. Debs: Power system control center and power
ticipants in learning about power markets by playing          Day 1                                                  Day 1                                                   systems expert, researcher; business leader
market games themselves using two advanced simula-            • Introduction to LMP-Based Markets: LMP               • Introduction to Short-Term Load Forecast-             Dr. Debs is President and founder of DSI, designer and de-
tion packages. The full understanding of power mar-              and its justification, application to congestion       ing: Requirements for effective STLF, review         veloper of DSI’s training, consulting and software programs
kets requires that any stakeholder be proficient in three        management and bidding strategies, PJM vs
basic areas:                                                                                                            of basic methods like similar-day and regression     for the power industry, and has spent his 36 professional
                                                                 MISO LMP’s. [Presentation]                             models, discussion of strength and weaknesses        years in industry, academia and research organizations. He
1.    Physical risk management                                • STEMS Risk Scenario: Rescheduling options               of various forecasting models [Presentation]         has focused a great deal of his attention on control centers,
2.    Financial risk management                                  for a meshed network. [Exercise]                                                                            system planning, utility restructuring and system forecasting.
                                                                                                                     • Use of Artificial Neural Networks in STLF:            He obtained all of his degrees at MIT (BS, MS and Ph. D),
3.    Forecasting future uncertainty                          • Contract vs Physical Paths: The Interchange             Basic ANN Structure, back propagation                was the key initial developer of the renowned Georgia Tech
These areas of concern are like the three legs of a stool,       Distribution Calculator (IDC), impacts of Point-       method, reasons for effectiveness in forecasting     electric power program, and is the author of the textbook,
a stool that would fall down if one leg were missing!            to-Point (PTP) Contracts on the physical paths,        [Presentation]                                       Modern Power Systems Control and Operation.
However, knowledge of how the
                                                                 loop flow, Transmission Load Relief (TLR)           • EPRI ANNSTLF: Development history, struc-
power network and system works                                   [Presentation]                                         ture of the program, illustration of functions       Program Dates and Locations
is important to predict the uncer-                            • STEMS Risk Scenario: Value-at-risk calcula-             [Demonstration]                                      (For full details, visit
tainty in several critical parame-                               tions considering load forecast uncertainty         • Updating Procedures on Hourly and Daily
ters that include network conges-                                [Exercise]                                             Basis: Basic updating procedures, manual op-                                                   Hands-On Short-
tion. This course uses forecasting                            • Locational Marginal Pricing (LMP): Market               tions for load reshaping, sensitivity analysis,              Courses      LMP-Based          Term Load Forecast-
knowledge as a starter, but moves                                designs using LMP marginal units, sensitivity                                                                                                       ing & Applications to
forward to show how one can                                                                                             confidence intervals [Exercise]                                          Market Opera-
                                                                                                                                                                                                                       Price Forecasting
                                                                 factors, Optimal Power Flow (OPF) as the tool       • Forecaster Performance Evaluation and Im-
                                                                                                                                                                             Venues                  tion
translate this knowledge into spe-                               to determine LMP’s. [Presentation]
cific risk parameters for risk man-                                                                                     provement: Data analysis options, what consti-
                                                              • STEMS Risk Scenario: The OPF as an operat-              tutes good performance, determination of causes
agement in the areas of conges-                                                                                                                                              Atlanta, GA              October               October
tion, competitive behavior, and                                  ing tool, economic rescheduling using OPF,             of error [Exercise]                                                        23 & 24, 2006         25 & 26, 2006
bidding strategies                                               Volt/VAR control using OPF [Exercise]
                                                                                                                     Day 2
                                                              Day 2                                                  • Short-Term Electricity Market Simulator
The first course considers starts with a thorough discus-                                                                                                                    San Francisco          November               November
                                                              • Risk Analysis for Congestion Management:                (STEMS) Basics: Forward market administra-                                  7 & 8, 2006           9 & 10, 2006
sion of locational marginal prices (LMP’s), their justifi-       Probabilistic factors, competition factors, bid-
cation, use and flavors. Settlements, based on LMP’s                                                                    tion system, security-constrained unit commit-
                                                                 ding strategies and their impacts on CM, overall       ment, bidding and price prediction
and FTR’s (Firm Transmission Rights) and other instru-
ments are used as the starting tools in understanding            CM risk characterization for short and long term       [Presentation]
network and system impacts. The second course tack-              analysis [Presentation]                             • STEMS/ANNSTLF Scenario: Working with
les the issue of forecasting in a market environment          • STEMS Risk Scenario: Risk impact of demand              STEMS, submission of bids, review of results,        Intended Audience For Each Course
whereby the goal is to predict and control uncertainty.          forecast uncertainty; risk impact of competitive       determination of LMP’s for day-ahead and real-
It turns out that artificial neural networks can do a great      bidding; overall risk characterization [Exercise]                                                           •     Hands-On LMP-Based Market Operation:
                                                                                                                        time markets. [Exercise]                                   Traders, System Operators, Marketers and Ana-
job in forecasting — if done correctly!                       • Mitigation Against Risk: Control of forecast         • STEMS/ANNSTLF Scenario: Prediction of                       lysts
The main tools for making this a success is reliance on          errors; modeling of competition; Financial             price spikes – scenario assumptions, bid curves
                                                                 Transmission Rights (FTR) [Presentation]                                                                    •     Hands-On STLF and Applications to Price Fore-
proven simulation and analysis software by EPRI and                                                                     in anticipation of shortages, illustration of com-         casting: System Operators, Market Designers,
DSI. Two packages to be used during the course are:           • STEMS Risk Scenario: Identification of fore-            petitive behavior to yield price spikes [Exercise]         Traders and Analysts
1.    ANNSTLF — Artificial Neural Networks Short-                cast error sensitivities; identification of com-    • STEMS/ANNSTLF Scenario: Advantages of
      Term Load Forecaster by EPRI                               petitor’s bidding strategy [Exercise]                  good forecasts – scenario setup whereby some
2.    STEMS — Short-Term Electricity Market Simula-           • STEMS Risk Scenario: Optimal valuation of               traders have better forecasts than others, bid-          DSI is a certified provider of continuing education
                                                                 FTR option considering both, physical and              ding game, running of the market and prediction          credits by the International Association of Continu-
     Participants will each earn 12 CEH Credits                  probabilities factors [Exercise]                       of prices [Exercise]                                     ing Education & Training (IACET) and the North
     (when applicable) and/or 1.2 CEU Credits                 • Summation, Feedback and Discussion.                  • Review, Feedback and Discussion
                                                                                                                                                                                 American Electric Reliability Council (NERC). DSI
                                                                                                                                                                                 also is a value-added developer and implementer of
                                                                                                                                                                                 EPRI’s STEMS, ANNSTLF and OTS.