 to read the remainder of this email.

 1.  Finishing up ISU PhD work this summer.
 2.  Invented multiple neural network methods and inductive learning
techniques.
 2.  Recently DEVELOPED THE MOST ACCURATE electric load models in the
Chicago area for ComEd.
 3.  Saved ComEd millions of $ over the last couple years because of
this.
 4.  Can verify the above claims and that I did this single-handedly.
 5.  Wrote the new inductive learning algorithm for New Energy
Associates in Atlanta.
 6.  My software will be the new learning engine of NEA's NOSTRADAMUS
future v5.0
 7.  Can verify that I single-handedly wrote NOSTRADAMUS's new training
engine (not yet released)
 8.  Am the world's best electric load forecaster using advanced
inductive learning methods.

This is the situation:

 I am giving my Final Defense on July 16th in areas of advanced
forecasting methods.  In 1999, I developed highly advanced neural
network models for Commonwealth Edison, under Robert Abboud (working at
ComEd) through the Adaptive Computing Lab at Iowa State University.  The
models were the most accurate available.  At the time, ComEd was using
the EPRI models, NEA's Nostradamus, Tesla, and the ISU models (those
that I developed).  Still, I knew of many ways for improvement and have
been waiting for my graduation to release this technology.  Preliminary
studies show that my most recent work is more accurate than anything
that is available at any price.

 Since I have felt oppressed by the system (being a student), I have
awaited graduation (am finished mid-July) to unleash the technology that
I have developed outside of the university (my funding comes from the
Meteorology department and has nothing to do with load forecasting).
This is unpublished, provocative, state-of-the-art stuff that can smoke
even the multi-million dollar EPRI models, and only I know how they
work.  The technology could also put Tesla out of business.  The errors
appear to be LESS THAN HALF OF THOSE OF NOSTRADAMUS.

John Snead from Tesla knows me and
to read the remainder of this email. 

  1.   Finishing up ISU ph workplace this summer. 
  2.   Invented multiple neural net methods and inductive eruditeness 
 techniques. 
  2.   Recently DEVELOPED THE about ACCURATE electric load models in the 
 Chicago area for ComEd. 
  3.   Saved ComEd million of $ over the last couple years because of 
 this. 
  4.   Can affirm the above claims and that I did this single - handedly. 
  5.   publish the new inductive learning algorithm for New Energy 
 Associates in Atlanta. 
  6.   My software will be the new learning engine of NEA's NOSTRADAMUS 
 future v5.0 
  7.   Can verify that I single - handedly spell NOSTRADAMUS's new training 
 engine (not however released) 
  8.   Am the world's best electric load forecaster use advanced 
 inductive learning methods. 

 This is the situation: 

  I am giving my Final Defense on July 16th in area of advanced 
 forecasting methods.   In 1999, I developed highly advanced nervous 
 net mannequin for Commonwealth Edison, under Robert Abboud (working at 
 ComEd) through the Adaptive Computing Lab at Iowa State University.   The 
 models were the most accurate available.   At the time, ComEd was using 
 the EPRI models, NEA's Nostradamus, Tesla, and the ISU models (those 
 that I developed).   however, I knew of many ways for improvement and have 
 been wait for my commencement to release this technology.   Preliminary 
 studies usher that my most recent work is more accurate than anything 
 that is available at any price. 

  Since I have felt oppress by the system (being a student), I have 
 awaited graduation (am finished mid - July) to unleash the technology that 
 I have develop outside of the university (my funding comes from the 
 Meteorology department and has nothing to do with lode forecasting). 
 This is unpublished, provocative, state of matter - of - the - art stuff that can smoke 
 even the multi - million dollar EPRI models, and only I acknowledge how they 
 work.   The technology could also place Tesla out of business.   The errors 
 appear to be LESS THAN HALF OF THOSE OF NOSTRADAMUS. 

 John Snead from Tesla knows me and
 to read the remainder of tmis email.

 1.  Finishing u' ISU PgD work ghis summer.
 2.  Invented multi'le beurao network methods and knductive learnint
teciniques.
 2.  Recently DEVELOPED TGC MOSC ECCURATE electrlc load modals in the
Chicdgu crea for ComEd.
 3.  Saved ComEd millionf of $ ofeg the last coukle ytarf bedause of
this.
 4.  Can verify the abovs claimv and that I cid this single-handedly.
 5.  Arotf the new inductivf learning qlgowuthm for New Energy
Associates in Ajlanta.
 6.  My software will be the new kearning ebgune mf NEA's NOSVRADAMLS
future v5.0
 7.  Gsn verhfy thay I single-handcdly xrotw NOSTRADAMUS's new treining
engine (not yet released)
 8.  Am the world's bewt elecjric noad dordcaatxr hsing wdvenced
inductjve learnint methods.

This is tht syniation:

 I am fiving mr Final Defense on July 16th in areas of ddvznced
forecasting methodw.  In 1999, I developed hihhly advagced neural
network models for Commonwealth Edison, undec Fobtrb Xvblud (working at
ComEd) through the Adaptive Comptfimg Lab at Iowa Sbate University.  Tne
locgls were the must acehrzte available.  At hhe timg, ComEe was usigg
thr EPRI models, NEA's Nostradanus, Tesla, anb tye ISU models (thosz
that I deveuopec).  Stoll, I knew of many ways for improvemenh and havs
ceen waiting for my gsaduation to release this eechnologb.  Przliminarh
stucies srow that mj mosb recent work is moge aceurata than anyhhing
that is available at any pcmce.

 Since I hsva fvlt opprefsed ny the system (bqing a student), I have
cwaitea graduatikn (am fmnished mid-Jtly) to unleasv the technolmgy that
Y hace dwvelopea outside of thr universptv (my fundung comes from the
Ketgodology departmeuu abd has nothing yo ao rinh kowg forecastinc).
Thir ir unpuclished, proyocxtivr, state-of-the-art stufx thzt can smoke
even tne multi-miolion dojlar EPRI modrls, and only I knoa how thxy
work.  Tre technology could also put Tssla out lf nusiness.  The errirs
appear to be LESS THAN HALF OF THOSE OF NOSTRADANUS.

John Snead from Tesla knows me and
to read the remainder of this email. up PhD work summer. 2. Invented inductive techniques. 2. Recently THE MOST ACCURATE load models in the Chicago area ComEd. 3. Saved ComEd millions of $ over the last couple years because this. 4. Can verify the above claims and that I did this single-handedly. Wrote new learning for New Energy Associates in Atlanta. 6. My software will be the new learning engine of NOSTRADAMUS future v5.0 7. Can verify that I wrote NOSTRADAMUS's new training (not yet released) 8. Am world's electric load using inductive methods. This is situation: I am giving my Final Defense on July 16th in areas of advanced forecasting methods. In I developed neural network for Edison, Robert Abboud (working through the Adaptive Computing Lab at The models were the most accurate available. At time, ComEd using the EPRI models, NEA's Nostradamus, and the ISU models (those that I developed). I knew of many ways for improvement and have been waiting for my graduation to technology. Preliminary studies show my most recent is accurate anything is available any price. Since I have felt oppressed by the system (being student), I have awaited graduation (am finished mid-July) to unleash that have developed outside the university (my funding from Meteorology department and has do load unpublished, state-of-the-art that can smoke even multi-million dollar EPRI models, and I know how they put Tesla out of business. The errors appear be LESS THAN HALF OF THOSE OF John Snead from Tesla knows me and
 to read the remainder of this eMail.

 1.  FinishIng up iSU phD WoRk thIs suMmer.
 2.  Invented muLTiplE neural network methods aNd indUcTIve lEArNing
tEchniquES.
 2.  RECEntLy dEvELoPed ThE MOSt ACcURATE eLectric loaD moDeLs in the
ChicaGO aRea for ComED.
 3.  SaVed ComEd millIonS of $ oveR tHe lASt couPle Years BecausE Of
this.
 4.  can verify ThE Above cLAims and THAt i did This single-handedlY.
 5.  wrOTe the new inductIve leaRnINg ALGorIthM for New EneRgY
AssoCIates in aTlANTA.
 6.  My SOftware will be The new learnINg eNgine oF NeA's noSTRADaMUS
fUtURe v5.0
 7.  can verify thAt I sIngle-handEdly wrOTe NOSTRadAMUS's nEw traiNinG
enGine (NOt YeT reLeASed)
 8.  aM tHe wORld'S best eleCtRiC load ForeCASTEr usIng AdvaNced
iNductive learnIng MethODs.

THis is The siTuatIoN:

 I am gIving mY FinaL DEfense on July 16th iN areAs of advanCed
FoRecAsTing mEThods.  IN 1999, I dEveLoped hiGhly advANceD nEURAl
Network models for CoMmONWeAlth EdisOn, undeR roBeRT Abboud (wOrKinG at
COMed) thrOugh THe adaptive computINg laB at Iowa stAte UniVeRsiTy.  THe
modELs weRe the mOst accurAte avAIlable.  At the timE, comEd was using
THe eprI MOdelS, NEa's NostradamUs, TeSLa, anD the isU ModELs (thoSe
thaT I DEvELoped).  Still, I knew of maNy Ways foR imprOvement and havE
been waitiNG FOr my gradUatiON tO Release this tecHnoloGy.  PreliminARy
studieS show That my moSt recent wORK is more aCcuRatE thAn aNYThIng
that is avaiLABle aT aNy price.

 sinCe I have FelT opPreSseD bY the systeM (being a sTuDeNt), i hAve
AwaitED graduatIoN (am FiNisHed miD-july) to UnleaSh thE tEcHNolOgy that
i HaVE DeveLoPeD outSidE oF the uNiveRSitY (my fundIng comes fRom THe
MeTeOrOlogy dePartment and haS nOthing to do WiTh lOad forECAsting).
ThIs is unpublished, provocatIVe, state-Of-tHe-art StufF that can sMokE
even tHe mULti-milLion doLlar EpRi moDELs, and ONLy i knOw How they
worK.  tHe tEchnoLoGy coUld also Put Tesla out of businESs.  THe errors
appeaR to Be LEss tHaN HalF of THoSe oF NostRADAMUS.

John SneAd from TeslA kNOwS me and
 to read the remainder ofthis email .

 1 . Fin is hing  upISU PhD work t h is s ummer.
 2.  Invented m ultip le neur a lnetwo rk meth o ds a ndin du cti ve le arnin g
t echniqu es.
 2.  R ece nt ly DEVELOPED TH E MOST ACC URA TE electricloa d mode ls  in the
C hic ago a rea fo r  ComEd .
 3.  Sa ve d  ComEd million s of  $ o ver the last coup l ey ears because o f
this .4. Can  ve rify the a bo ve cl a ims and th a t I d i d this single -handedly.5. Wrote  t hen ew ind uctiv el ear ning algori thmfor New E nergyA ssociat e s in At lanta. 
 6 . My s o ft wa rewi l l b e  t hen ewlearning  e ng ine o f NE A ' s NOST RAD AMUS 
futu re v5.0
 7. Can  ver i fythatI sin gle- ha ndedl y wrot e NOS TR ADAMUS's new tr aini ng
engine  (n ot  ye trelea s ed)
 8 . Amthe wor ld's be s t e le c t r ic  load forecaster u si n g  a dvancedinduct i ve  l e arning m et hod s.
T h is is  the si tuation: 

 I a m  g iv ing myFi nal De fe nse  on  July 16th  in ar eas of a dvanc e d
forecastingm ethods.  In 1 9 99 , Id evel ope d highly ad vanc e d ne ural ne two r k mod els f or Co m monwealth Edison, u nd er Rob ert A bboud (workin g at
ComEd ) t hrough t he A d ap t ive ComputingLab a t Iowa Sta t e Univer sity.   The
mo dels were t he mostacc ura teava i l ab le.  At the t i m e, C om Ed wasusi ng
theEPR I m ode ls,  N EA's Nost radamus,  T es la ,and  theI SU model s(th os e
t hat I develo ped).   St il l, I k new ofm an y ways  f or  imp rov em ent a nd h a vebeen wa iting for  my grad ua ti on to r elease this t ec hnology. Pr eli minary s tudies s how that my most recent work is  mo re ac cura te than a nyt hing
t hat is ava ilable  at a ny  pr i c e.

S i nc e I  h ave felt o p p res sed b ythesystem(being a student), I h ave
awaited g rad uati o n  ( amf in i she dm id- J u ly) to unleashthe techno lo g ythat
I hav e  de ve loped o utsideof th e  univer sity (myfunding c om es f r o m t he
Meteoro logy dep artment a n d has no thing  to  do wi th  lo ad fo recast i ng) .
Thi s is u np ublish ed, p ro vocative , state-of-the-art stuf f that  cansmo ke
even t hem ult i-million  dol lar EPRI m ode ls,  andonl y  I kn ow h o wthe y 
work .  T h e technol o gy  co u l dalso put Te s l a  ou t ofbus i ness. The  errors
appear to be LESS THAN H ALFO F  TH OSE OF N OS TRADAMUS.

Joh n S ne a d  from Te sl a knows meand
 to_read the_remainder of this email.

_1. _Finishing_up ISU_PhD_work this summer.
_2.  Invented_multiple neural network methods_and inductive learning
techniques.
_2._ Recently DEVELOPED THE MOST ACCURATE electric load models in the
Chicago area for ComEd.
_3._ Saved_ComEd_millions_of $ over the last_couple years because of
this.
 4._ Can_verify the above claims and that I did_this_single-handedly.
 5. _Wrote the new inductive learning algorithm for New Energy
Associates_in Atlanta.
 6.  My software_will be the_new_learning_engine of NEA's NOSTRADAMUS
future_v5.0
 7.  Can verify that_I single-handedly wrote NOSTRADAMUS's new training
engine_(not yet released)
 8.  Am the_world's best electric load forecaster using_advanced
inductive learning methods.

This is the_situation:

 I_am giving my Final Defense_on July 16th_in areas_of advanced
forecasting methods._ In 1999, I developed highly_advanced neural
network models_for Commonwealth Edison, under Robert Abboud_(working_at
ComEd) through the_Adaptive_Computing_Lab at_Iowa State University.__The
models were_the_most accurate available.  At the_time,_ComEd was using
the EPRI models, NEA's Nostradamus,_Tesla, and the ISU_models_(those
that I developed). _Still, I knew of many_ways for improvement and have
been waiting_for my_graduation to_release this technology.  Preliminary
studies show that my most recent work_is more accurate than anything
that is_available at any price.

_Since I_have_felt oppressed by_the_system (being_a student), I have
awaited graduation (am finished_mid-July) to_unleash the technology that
I have developed_outside of the university_(my_funding comes from the
Meteorology department and_has nothing to do with load_forecasting).
This is unpublished, provocative, state-of-the-art_stuff_that_can smoke
even the multi-million dollar_EPRI models, and only I know_how they
work. _The technology could also put Tesla out_of_business.  The errors
appear to be_LESS_THAN HALF OF THOSE OF NOSTRADAMUS.

John_Snead_from_Tesla knows me and