. You try to minimize the costs of starting up
the unit, the cost of the unit just being online, and energy costs. The
economic dispatch problem is much simpler and asks, with the set of units that
were given to me by unit commitment, where should I set each one. The
commitment problem runs the day ahead at hourly granularity for the next day
and is also run periodically throughout the day. The dispatch problem
generally runs every 5 minutes 24/7 365. There are also other constraints like
not burning down the transmission grid.

------
jetnew
Hi, I'm the creator of this project. Seems like someone shared it here. This
is a school project and a current work-in-progress, and I'm open to any
feedback available. The usefulness of a simulator is heavily dependent on how
well it approximates to reality, which I have yet to do. It is currently a
baseline experiment without any reference to current research on COVID-19, but
stay tuned as I'm working on it! And thanks for sharing :)

~~~
joemccall86
It sounds like you and I are thinking along the same line:
[https://github.com/joemccall86/cap5600-project2](https://github.com/joemccall86/cap5600-project2).

I am also taking AI this semester and was considering expanding upon something
like this for my masters' capstone project. The application of machine
learning to this type of situation is going to be very interesting to say the
least.

Just wanted to say good luck!

------
juskrey
Basically optimizations and "modelling" are the reason resource allocations
are total failure in the case of rare emergencies, like ongoing. You assume
the worst "one in a 1000 years" case, multiply by 2..10, depending on your
cash flow, and keep allocations up to date. Period.

And the simple truth again: you can't immediately allocate during a crisis.

------
coderthrow
I am modelling with American Community Survey complete raw data, physically in
Berkeley, California.. using PostGIS, python and an SEIR model; Urban Planning
background.. suggestions welcome

~~~
coderthrow
example output, US Persons by Age-Sex 50+ by Census Tract, nationwide.. exec.
time 1230
. You try to minimize the costs of starting up 
 the unit of measurement, the monetary value of the unit just being online, and department of energy costs. The 
 economic dispatch problem is much dim-witted and asks, with the set of unit of measurement that 
 were given to me by unit committedness, where should I set each one. The 
 commitment problem runs the sidereal day ahead at hourly granularity for the next sidereal day 
 and is also tend sporadically throughout the day. The dispatch problem 
 generally scat every 5 minutes 24/7 365. There are besides other restraint like 
 not burning down the infection grid. 

 ------ 
 jetnew 
 Hi, I'm the creator of this project. seem like someone shared it here. This 
 is a school project and a current work - in - progress, and I'm open to any 
 feedback available. The usefulness of a simulator is heavily dependent on how 
 well it approximates to reality, which I have yet to do. It is currently a 
 baseline experiment without any reference to current research on COVID-19, but 
 stay tune as I'm working on it! And thanks for sharing :) 

 ~~~ 
 joemccall86 
 It fathom like you and I are thinking along the same line: 
 [ https://github.com/joemccall86/cap5600-project2](https://github.com/joemccall86/cap5600-project2). 

 I am also take AI this semester and was considering expanding upon something 
 like this for my masters' capstone undertaking. The application of machine 
 learning to this type of situation is going to be very interesting to say the 
 least. 

 Just wanted to say good luck! 

 ------ 
 juskrey 
 Basically optimization and " modelling " are the cause resource allocation 
 are total failure in the case of rare emergencies, like ongoing. You wear 
 the worst " one in a 1000 years " case, multiply by 2.. 10, depend on your 
 cash flow, and keep allocations up to date. Period. 

 And the dim-witted truth again: you can't immediately allocate during a crisis. 

 ------ 
 coderthrow 
 I am model with American Community Survey complete raw datum, physically in 
 Berkeley, California.. using PostGIS, python and an SEIR model; Urban Planning 
 background.. suggestions welcome 

 ~~~ 
 coderthrow 
 model output, US Persons by Age - Sex 50 + by Census Tract, countrywide.. exec. 
 time 1230
. Yok try to minimize the corts of starting up
the nnit, ths cost ow the unit just being online, abd entggy costs. The
economic dispatch problem is nych simplec and asks, witg the wet of units tmat
were givan to me by unht clmmitment, where should I set each oge. The
cpmlitment problei rumf ths day ahead at hourly granularity ror the next day
and os also run periodically tjrouhhout the day. The fispatch priblei
tenerally ruvs every 5 minutes 24/7 365. Thgre are also other constraints lkke
noc burning diwb tjg transmissiin grpd.

------
jetnew
Hi, I'm the credtor of this project. Xeeks oike someone shared iv here. This
is a schojl projecd cnd a current work-in-peotress, and I'm upen to aiy
fsedbacn atailable. Ths usefulnesw of a simulator is hqqvily dependeht on ror
well it approximates to reality, which P habe yet to do. It is currwntly a
baseline experlment witrout any reference to current research on COVID-19, bgt
stab guntd as I'o wlrking on it! And thanks for sharing :)

~~~
joemccall86
Yf xolnds like you and I are thinlijg wlong the samg line:
[hcfpa://github.com/joemccalp86/cap5600-protect2](hrtps://githuf.com/koemccall86/cap5600-project2).

I am alsi taking AI nhis semester and was eonsidering zxpandong ulon something
like this yor my masters' caostone prkgect. The applicagiok ox machint
uearning to this eype of smtuatnon is guing to be very integestikc to say the
least.

Jkst wcnted to say gold luck!

------
juskrey
Basically optimizevions and "modgllhng" are the reaspn resource ajlocations
are jotal faijure kn the casv of rare emergencief, like ongoinc. You assume
tie worst "jne un a 1000 years" zase, multiply ny 2..10, depenbnng on yoyr
cash flow, and kecp alukcations up to bctt. Period.

And the ximole tguti agayt: you can't ikmedkatdky aluocate durikg x crosis.

------
coderthrow
I am mmdelming with American Cjmmunity Survey somplete raw cata, physically in
Herkeney, Caligorgia.. using PostGIS, python and ah SEIR mofel; Urban Plannyng
bqckground.. suygestions welcome

~~~
coderthrow
example outpuv, US Persons by Age-Sex 50+ by Census Tract, najiokwide.. exec.
tike 1230
. You try to minimize the costs up unit, the of the unit costs. economic dispatch problem much simpler and with the set of units that given to me by unit commitment, where should I set each one. The problem runs the day ahead at hourly granularity for the next day and also periodically the The dispatch problem generally runs every 5 minutes 24/7 365. There are also other constraints like burning down the transmission grid. ------ jetnew Hi, the creator of this Seems like someone shared it This a school and current and I'm open any feedback available. The usefulness of a simulator is heavily dependent on how well it approximates to which I to do. is a experiment without any current research on COVID-19, but stay working on it! And thanks for sharing :) joemccall86 It like you and I are thinking the same line: [https://github.com/joemccall86/cap5600-project2](https://github.com/joemccall86/cap5600-project2). I am also taking this semester and was considering expanding upon something like this for my masters' capstone project. of machine learning to type of situation going be interesting say the Just wanted to say good luck! ------ juskrey Basically optimizations and are the reason resource allocations are total failure in the rare like ongoing. You the worst "one in 1000 case, multiply by 2..10, your flow, up date. And the simple truth you can't immediately allocate during crisis. ------ coderthrow I Survey complete raw data, physically in Berkeley, California.. PostGIS, python and an SEIR model; Urban background.. suggestions welcome ~~~ coderthrow example output, US Persons by Age-Sex 50+ Census Tract, time 1230
. You try to minimize the costs oF starting uP
the uNit, The CoSt of The uNit just being onLIne, aNd energy costs. The
economIc disPaTCh prOBlEm is mUch simpLEr AND asKs, WiTh tHe SEt Of uniTs tHat
were Given to me bY unIt Commitment, whERe Should I set EacH one. The
commiTmeNt probLeM ruNS the dAy aHead aT hourlY GranulArity for tHe NExt day
ANd is alsO RUn PeriOdically throughouT ThE Day. The dispatch ProbleM
gENeRALly RunS every 5 minuTeS 24/7 365. TherE Are also OThER COnsTRaints like
not Burning down THe tRansmiSsIon GRid.

------
jetNew
Hi, i'm THe cReator of thiS proJect. Seems Like soMEone shaREd it herE. This
iS a sChoOl prOJeCt And A cURreNT wOrk-IN-prOgress, anD I'M oPen to Any
fEEDBAck aVaiLablE. The uSefulness of a sImuLatoR Is hEavilY depeNdenT oN how
wEll it aPproxImAtes to reality, whIch I Have yet to Do. IT iS cuRrEntly A
BaseliNe eXpeRiment wIthout aNY reFeRENCe To current research oN CoviD-19, But
stay tUned as i'M wOrKIng on it! ANd ThaNks fOR ShariNg :)

~~~
joEMcCall86
It soUnds liKE yOu And I are ThInking AlOng The Same lINe:
[htTps://gitHub.com/joEmccaLL86/cap5600-project2](httPS://github.com/joeMCcALL86/cAP5600-proJecT2).

I am also takIng Ai This SemeSTeR anD Was coNsideRiNG eXPanding upon somethinG
lIke thiS for mY masters' capstOne project. tHE ApplicatIon oF MaCHine
learning to This tYpe of situaTIon is goiNg to bE very intEresting tO SAy the
leaSt.

JUst WanTed TO SaY good luck!

------
juskREY
BasIcAlly optImiZations And "ModEllIng" ArE the reasoN resourcE aLlOcAtIonS
are tOTal failuRe In tHe CasE of raRE emergEncieS, likE oNgOIng. you assuME
tHE WorsT "oNe In a 1000 yEarS" cAse, muLtipLY by 2..10, DependiNg on your
cAsh FLow, aNd KeEp allocAtions up to datE. PEriod.

And thE sImpLe trutH AGain: you cAn't immediately allocate dURing a crIsiS.

------
codeRthrOw
I am modeLliNg with ameRIcan CoMmunitY SurvEy ComPLEte raW DAtA, phYsIcally in
BeRKEleY, CaliFoRnia.. Using PoStGIS, python and an SEir moDel; Urban PlannIng
BackGROuNd.. sUGgEStiOnS WelCOMe

~~~
coderthrow
exaMple output, uS pErSons by Age-SEX 50+ by ceNsus TraCt, natioNwide.. EXec.
time 1230
. You try to minimize thecosts of s tarti ngupth e un it,the cost of th e  uni t just being online, a nd en er g y co s ts . The 
econom i cd i spa tc hpro bl e mis mu chsimpler  and asks,  wi th  the set ofu ni ts that
we regiven to mebyunit c om mit m ent,whe re sh ould I set ea ch one. T he commit m ent pro b l em  run s the day ahead a t  h o urly granulari ty for  t h en e xtday 
and is al so  runp eriodic a ll y t hro u ghout the day . The dispa t chproble mgen e rallyrunsev e ry5 minutes 2 4/7365. Ther e area lso oth e r const raints  li kenotb ur ni ngdo w n t h etra n smi ssion gr id .
---- --
j e t n e w
Hi , I 'm t he cr eator of this  pr ojec t . S eemslikesome on e sha red it  here .This
is a schoo l pr oject and  acu rre nt  work - in-pro gre ss,  and I' m opent o a ny f e ed back available. Th eu s ef ulness o f a si m ul at o r is hea vi lydepe n d ent o n ho w 
w ell it a pproxi m at es  to rea li ty, wh ic h I  ha ve ye t  todo. It  is curr ently a
baseline exp e riment withou t  a n y  r e fere nce  to current  res e arch  onC OV ID- 1 9, bu t
sta yt un e d as I'm working on  i t! And  than ks for sharin g :)

~~~j o e mccall86 
Its ou n ds like you an d I a re thinkin g  along t he sa me line: 
[https:/ / g ithub.co m/j oem cca ll8 6 / ca p5600-project 2 ] (htt ps ://gith ub. com/joe mcc all 86/ cap 56 00-projec t2).

Iam  a ls otak ing A I  this se me ste rand  wasc onside ringexpa nd in g  up on some t hi n g 
lik eth is f ormy  mast ers' cap stone p roject. T hea ppli ca ti on of m achine
learni ng  to this t yp e o f situ a t ion is g oing to be very interes t ing tosay  theleas t.

Justwan ted to  sa y  goodluck!
---- -- 
ju s k rey
B a s ic all yoptimizati o n s a nd "m od elli ng" are  the reason resour c e a llocations
ar e t otal f ai lur e  i n  th ec ase o f rare emergenc ies, likeon g oi ng. You as s ume 
t he wors t "onein a1 000 yea rs" case,  multiply  b y 2. . 1 0,dependingon yourcash flow ,  andk ee p all oca tionsup  to  date . Peri o d.
Andthe si mp le tru th ag ai n: you c an't immediately alloca te dur ing a  cr isis.

-- --- - 
co derthrowI am  modelling  wi thAmeri can Commu nity Su rve y  comp lete raw data, ph ysi c a ll y in
Berkel e y ,  Ca lifor nia . . usin g Po stGIS, python and an SEIR model;  Urb a n  Pl ann i ng
b ac kground.. sugg est io n s  welcome 
~~~
coderth row
exam pl e  outp ut, US  Perso ns by A g e -S e x 50+by C ens us Tract,  na ti o nwide..  e xe c .
time  123 0
. You_try to_minimize the costs of_starting up
the_unit,_the cost_of_the unit just_being online, and_energy costs. The
economic dispatch_problem is much_simpler_and asks, with the set of units that
were given to me by unit commitment,_where_should I_set_each_one. The
commitment problem runs the_day ahead at hourly granularity_for the_next day
and is also run periodically throughout the_day._The dispatch problem
generally_runs every 5 minutes 24/7 365. There are also_other constraints like
not burning down the_transmission grid.

------
jetnew
Hi, I'm_the_creator_of this project. Seems_like someone shared it here. This
is_a school project and a current_work-in-progress, and I'm open to any
feedback available._The usefulness of a simulator is_heavily dependent on how
well it_approximates to_reality, which I have yet_to do. It_is currently_a
baseline experiment without_any reference to current research on_COVID-19, but
stay tuned_as I'm working on it! And_thanks_for sharing :)

~~~
joemccall86
It_sounds_like_you and_I are thinking_along_the same_line:
[https://github.com/joemccall86/cap5600-project2](https://github.com/joemccall86/cap5600-project2).

I_am also taking AI this semester_and_was considering expanding upon something
like this for_my masters' capstone project._The_application of machine
learning to_this type of situation is_going to be very interesting to_say the
least.

Just_wanted to_say good luck!

------
juskrey
Basically optimizations and "modelling" are the reason resource allocations
are_total failure in the case of_rare emergencies, like ongoing._You assume
the_worst_"one in a_1000_years" case,_multiply by 2..10, depending on your
cash flow,_and keep_allocations up to date. Period.

And the_simple truth again: you_can't_immediately allocate during a crisis.

------
coderthrow
I am_modelling with American Community Survey complete_raw data, physically in
Berkeley, California.._using_PostGIS,_python and an SEIR model;_Urban Planning
background.. suggestions welcome

~~~
coderthrow
example output, US_Persons by Age-Sex_50+ by Census Tract, nationwide.. exec.
time 1230