BEGIN:VCALENDAR
VERSION:2.0
CALSCALE:GREGORIAN
PRODID:iCalendar-Ruby
BEGIN:VEVENT
CATEGORIES:Conferences/Seminars/Lectures
DESCRIPTION:Monday\, January 23-Friday\, January 27\, 9:00 am - 1:00 pm ET
each day (5 classes)\nNEW Location: E51-145\nRegister by January 20. Email
Pablo Duenas (pduenas@mit.edu)\n\nThis 5-session hands-on learning experien
ce introduces analysis techniques to model and understand the role of elect
ric power systems within a carbon-constrained economy. The massive deployme
nt of intermittent renewables energy resources\, the anticipated surge of a
ctive demand response and batteries\, the development of smart grids\, or t
he reliability of supply are among the critical challenges that must be fac
ed by mathematical models for optimization\, analysis\, and simulation of c
omplex decision-making processes in electricity systems. Besides a theoreti
cal description of models\, the instructors will provide students with a co
llection of prototypes that will allow them to run study cases and to explo
re the effect of different mathematical formulations on the outcomes. The u
se of these models in some real-world applications is also presented.\n\n \
n\nJanuary 23\n\nPart 0: Why models? Operating and planning under ever-evol
ving conditions\n\nPart 1: Daily operation under renewable uncertainty\n\n
1. Economic dispatch and unit commitment\n\n 2. Stochastic unit c
ommitment\n\nJanuary 24\n\nPart 2: Operation planning: getting ready within
a year\n\n 3. Mid-term hydro-thermal coordination\n\n 4. Determi
nistic and stochastic model\n\nJanuary 25\n\nPart 3: Investing in generatio
n to supply a growing demand\n\n 5. Generation expansion planning\n\n
6. GenX model: an expansion model for studying low-carbon energy futur
es\n\nJanuary 26\n\nPart 4: Investing in transmission lines to unlock renew
able potential\n\n 7. Transmission expansion planning\n\n 8. open
TEPES model: G&T operation and expansion planning with renewable and storag
e\n\nJanuary 27\n\nPart 5: Empowering end consumers for a clean and afforda
ble transition\n\n 9. A simplified model for scheduling a microgrid\n\
n 10. DECARB model: enabling buildings responsiveness for decarbonizatio
n\n\n \n\nInstructors\n\nAndres Ramos – Professor at Universidad Pontificia
Comillas\, arght@mit.eduJavier Garcia – Professor at Universidad Pontifici
a Comillas\, javiergg@mit.eduPablo Duenas – Research Scientist at MIT Energ
y Initiative\, pduenas@mit.eduTim Schittekatte – Research Scientist at MIT
Energy Initiative\, schtim@mit.edu \nPREREQUISITES: None (some GAMS/Python
familiarity is helpful)\nLIMITED: Students welcome to individual sessions
DTEND:20230123T180000Z
DTSTAMP:20241103T202347Z
DTSTART:20230123T140000Z
LOCATION:E51-145
SEQUENCE:0
SUMMARY:Computational modeling for clean\, reliable\, and affordable electr
icity
UID:tag:localist.com\,2008:EventInstance_41855257793059
URL:https://calendar.mit.edu/event/computational_modeling_for_clean_reliabl
e_and_affordable_electricity
END:VEVENT
BEGIN:VEVENT
CATEGORIES:Conferences/Seminars/Lectures
DESCRIPTION:Monday\, January 23-Friday\, January 27\, 9:00 am - 1:00 pm ET
each day (5 classes)\nNEW Location: E51-145\nRegister by January 20. Email
Pablo Duenas (pduenas@mit.edu)\n\nThis 5-session hands-on learning experien
ce introduces analysis techniques to model and understand the role of elect
ric power systems within a carbon-constrained economy. The massive deployme
nt of intermittent renewables energy resources\, the anticipated surge of a
ctive demand response and batteries\, the development of smart grids\, or t
he reliability of supply are among the critical challenges that must be fac
ed by mathematical models for optimization\, analysis\, and simulation of c
omplex decision-making processes in electricity systems. Besides a theoreti
cal description of models\, the instructors will provide students with a co
llection of prototypes that will allow them to run study cases and to explo
re the effect of different mathematical formulations on the outcomes. The u
se of these models in some real-world applications is also presented.\n\n \
n\nJanuary 23\n\nPart 0: Why models? Operating and planning under ever-evol
ving conditions\n\nPart 1: Daily operation under renewable uncertainty\n\n
1. Economic dispatch and unit commitment\n\n 2. Stochastic unit c
ommitment\n\nJanuary 24\n\nPart 2: Operation planning: getting ready within
a year\n\n 3. Mid-term hydro-thermal coordination\n\n 4. Determi
nistic and stochastic model\n\nJanuary 25\n\nPart 3: Investing in generatio
n to supply a growing demand\n\n 5. Generation expansion planning\n\n
6. GenX model: an expansion model for studying low-carbon energy futur
es\n\nJanuary 26\n\nPart 4: Investing in transmission lines to unlock renew
able potential\n\n 7. Transmission expansion planning\n\n 8. open
TEPES model: G&T operation and expansion planning with renewable and storag
e\n\nJanuary 27\n\nPart 5: Empowering end consumers for a clean and afforda
ble transition\n\n 9. A simplified model for scheduling a microgrid\n\
n 10. DECARB model: enabling buildings responsiveness for decarbonizatio
n\n\n \n\nInstructors\n\nAndres Ramos – Professor at Universidad Pontificia
Comillas\, arght@mit.eduJavier Garcia – Professor at Universidad Pontifici
a Comillas\, javiergg@mit.eduPablo Duenas – Research Scientist at MIT Energ
y Initiative\, pduenas@mit.eduTim Schittekatte – Research Scientist at MIT
Energy Initiative\, schtim@mit.edu \nPREREQUISITES: None (some GAMS/Python
familiarity is helpful)\nLIMITED: Students welcome to individual sessions
DTEND:20230124T180000Z
DTSTAMP:20241103T202347Z
DTSTART:20230124T140000Z
LOCATION:E51-145
SEQUENCE:0
SUMMARY:Computational modeling for clean\, reliable\, and affordable electr
icity
UID:tag:localist.com\,2008:EventInstance_41855257795108
URL:https://calendar.mit.edu/event/computational_modeling_for_clean_reliabl
e_and_affordable_electricity
END:VEVENT
BEGIN:VEVENT
CATEGORIES:Conferences/Seminars/Lectures
DESCRIPTION:Monday\, January 23-Friday\, January 27\, 9:00 am - 1:00 pm ET
each day (5 classes)\nNEW Location: E51-145\nRegister by January 20. Email
Pablo Duenas (pduenas@mit.edu)\n\nThis 5-session hands-on learning experien
ce introduces analysis techniques to model and understand the role of elect
ric power systems within a carbon-constrained economy. The massive deployme
nt of intermittent renewables energy resources\, the anticipated surge of a
ctive demand response and batteries\, the development of smart grids\, or t
he reliability of supply are among the critical challenges that must be fac
ed by mathematical models for optimization\, analysis\, and simulation of c
omplex decision-making processes in electricity systems. Besides a theoreti
cal description of models\, the instructors will provide students with a co
llection of prototypes that will allow them to run study cases and to explo
re the effect of different mathematical formulations on the outcomes. The u
se of these models in some real-world applications is also presented.\n\n \
n\nJanuary 23\n\nPart 0: Why models? Operating and planning under ever-evol
ving conditions\n\nPart 1: Daily operation under renewable uncertainty\n\n
1. Economic dispatch and unit commitment\n\n 2. Stochastic unit c
ommitment\n\nJanuary 24\n\nPart 2: Operation planning: getting ready within
a year\n\n 3. Mid-term hydro-thermal coordination\n\n 4. Determi
nistic and stochastic model\n\nJanuary 25\n\nPart 3: Investing in generatio
n to supply a growing demand\n\n 5. Generation expansion planning\n\n
6. GenX model: an expansion model for studying low-carbon energy futur
es\n\nJanuary 26\n\nPart 4: Investing in transmission lines to unlock renew
able potential\n\n 7. Transmission expansion planning\n\n 8. open
TEPES model: G&T operation and expansion planning with renewable and storag
e\n\nJanuary 27\n\nPart 5: Empowering end consumers for a clean and afforda
ble transition\n\n 9. A simplified model for scheduling a microgrid\n\
n 10. DECARB model: enabling buildings responsiveness for decarbonizatio
n\n\n \n\nInstructors\n\nAndres Ramos – Professor at Universidad Pontificia
Comillas\, arght@mit.eduJavier Garcia – Professor at Universidad Pontifici
a Comillas\, javiergg@mit.eduPablo Duenas – Research Scientist at MIT Energ
y Initiative\, pduenas@mit.eduTim Schittekatte – Research Scientist at MIT
Energy Initiative\, schtim@mit.edu \nPREREQUISITES: None (some GAMS/Python
familiarity is helpful)\nLIMITED: Students welcome to individual sessions
DTEND:20230125T180000Z
DTSTAMP:20241103T202347Z
DTSTART:20230125T140000Z
LOCATION:E51-145
SEQUENCE:0
SUMMARY:Computational modeling for clean\, reliable\, and affordable electr
icity
UID:tag:localist.com\,2008:EventInstance_41855257796133
URL:https://calendar.mit.edu/event/computational_modeling_for_clean_reliabl
e_and_affordable_electricity
END:VEVENT
BEGIN:VEVENT
CATEGORIES:Conferences/Seminars/Lectures
DESCRIPTION:Monday\, January 23-Friday\, January 27\, 9:00 am - 1:00 pm ET
each day (5 classes)\nNEW Location: E51-145\nRegister by January 20. Email
Pablo Duenas (pduenas@mit.edu)\n\nThis 5-session hands-on learning experien
ce introduces analysis techniques to model and understand the role of elect
ric power systems within a carbon-constrained economy. The massive deployme
nt of intermittent renewables energy resources\, the anticipated surge of a
ctive demand response and batteries\, the development of smart grids\, or t
he reliability of supply are among the critical challenges that must be fac
ed by mathematical models for optimization\, analysis\, and simulation of c
omplex decision-making processes in electricity systems. Besides a theoreti
cal description of models\, the instructors will provide students with a co
llection of prototypes that will allow them to run study cases and to explo
re the effect of different mathematical formulations on the outcomes. The u
se of these models in some real-world applications is also presented.\n\n \
n\nJanuary 23\n\nPart 0: Why models? Operating and planning under ever-evol
ving conditions\n\nPart 1: Daily operation under renewable uncertainty\n\n
1. Economic dispatch and unit commitment\n\n 2. Stochastic unit c
ommitment\n\nJanuary 24\n\nPart 2: Operation planning: getting ready within
a year\n\n 3. Mid-term hydro-thermal coordination\n\n 4. Determi
nistic and stochastic model\n\nJanuary 25\n\nPart 3: Investing in generatio
n to supply a growing demand\n\n 5. Generation expansion planning\n\n
6. GenX model: an expansion model for studying low-carbon energy futur
es\n\nJanuary 26\n\nPart 4: Investing in transmission lines to unlock renew
able potential\n\n 7. Transmission expansion planning\n\n 8. open
TEPES model: G&T operation and expansion planning with renewable and storag
e\n\nJanuary 27\n\nPart 5: Empowering end consumers for a clean and afforda
ble transition\n\n 9. A simplified model for scheduling a microgrid\n\
n 10. DECARB model: enabling buildings responsiveness for decarbonizatio
n\n\n \n\nInstructors\n\nAndres Ramos – Professor at Universidad Pontificia
Comillas\, arght@mit.eduJavier Garcia – Professor at Universidad Pontifici
a Comillas\, javiergg@mit.eduPablo Duenas – Research Scientist at MIT Energ
y Initiative\, pduenas@mit.eduTim Schittekatte – Research Scientist at MIT
Energy Initiative\, schtim@mit.edu \nPREREQUISITES: None (some GAMS/Python
familiarity is helpful)\nLIMITED: Students welcome to individual sessions
DTEND:20230126T180000Z
DTSTAMP:20241103T202347Z
DTSTART:20230126T140000Z
LOCATION:E51-145
SEQUENCE:0
SUMMARY:Computational modeling for clean\, reliable\, and affordable electr
icity
UID:tag:localist.com\,2008:EventInstance_41855257797158
URL:https://calendar.mit.edu/event/computational_modeling_for_clean_reliabl
e_and_affordable_electricity
END:VEVENT
BEGIN:VEVENT
CATEGORIES:Conferences/Seminars/Lectures
DESCRIPTION:Monday\, January 23-Friday\, January 27\, 9:00 am - 1:00 pm ET
each day (5 classes)\nNEW Location: E51-145\nRegister by January 20. Email
Pablo Duenas (pduenas@mit.edu)\n\nThis 5-session hands-on learning experien
ce introduces analysis techniques to model and understand the role of elect
ric power systems within a carbon-constrained economy. The massive deployme
nt of intermittent renewables energy resources\, the anticipated surge of a
ctive demand response and batteries\, the development of smart grids\, or t
he reliability of supply are among the critical challenges that must be fac
ed by mathematical models for optimization\, analysis\, and simulation of c
omplex decision-making processes in electricity systems. Besides a theoreti
cal description of models\, the instructors will provide students with a co
llection of prototypes that will allow them to run study cases and to explo
re the effect of different mathematical formulations on the outcomes. The u
se of these models in some real-world applications is also presented.\n\n \
n\nJanuary 23\n\nPart 0: Why models? Operating and planning under ever-evol
ving conditions\n\nPart 1: Daily operation under renewable uncertainty\n\n
1. Economic dispatch and unit commitment\n\n 2. Stochastic unit c
ommitment\n\nJanuary 24\n\nPart 2: Operation planning: getting ready within
a year\n\n 3. Mid-term hydro-thermal coordination\n\n 4. Determi
nistic and stochastic model\n\nJanuary 25\n\nPart 3: Investing in generatio
n to supply a growing demand\n\n 5. Generation expansion planning\n\n
6. GenX model: an expansion model for studying low-carbon energy futur
es\n\nJanuary 26\n\nPart 4: Investing in transmission lines to unlock renew
able potential\n\n 7. Transmission expansion planning\n\n 8. open
TEPES model: G&T operation and expansion planning with renewable and storag
e\n\nJanuary 27\n\nPart 5: Empowering end consumers for a clean and afforda
ble transition\n\n 9. A simplified model for scheduling a microgrid\n\
n 10. DECARB model: enabling buildings responsiveness for decarbonizatio
n\n\n \n\nInstructors\n\nAndres Ramos – Professor at Universidad Pontificia
Comillas\, arght@mit.eduJavier Garcia – Professor at Universidad Pontifici
a Comillas\, javiergg@mit.eduPablo Duenas – Research Scientist at MIT Energ
y Initiative\, pduenas@mit.eduTim Schittekatte – Research Scientist at MIT
Energy Initiative\, schtim@mit.edu \nPREREQUISITES: None (some GAMS/Python
familiarity is helpful)\nLIMITED: Students welcome to individual sessions
DTEND:20230127T180000Z
DTSTAMP:20241103T202347Z
DTSTART:20230127T140000Z
LOCATION:E51-145
SEQUENCE:0
SUMMARY:Computational modeling for clean\, reliable\, and affordable electr
icity
UID:tag:localist.com\,2008:EventInstance_41855257799207
URL:https://calendar.mit.edu/event/computational_modeling_for_clean_reliabl
e_and_affordable_electricity
END:VEVENT
END:VCALENDAR