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DTSTART:20380118T221407
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DTSTAMP:20210220T143828Z
UID:D7437C40-34E3-47CA-83AE-4363F1AE7AFF
DTSTART;TZID=America/Lima:20210220T083000
DTEND;TZID=America/Lima:20210220T093000
DESCRIPTION:Title of the webinar: Role of Forecasting in Power Systems\nKey
  Speaker: Dr. Sri Niwas Singh (IEEE DLP lecturer)\n\nProfessor - Madan Moh
 an MalviyaUniversity of Technology\n\nGorakhpur\nDeoria Road\nGorakhpur\, 
 UP\nIndia\nIEEE Region 10 (Asia and Pacific)\n\nAbstract:\n\nDue to rapid 
 industrialization and increased standard in the life style\, the electric 
 power requirement is increasing day-by-day. Various concerns related to pr
 ogressive depletion of traditional fossil energy sources\, increasing cost
  of fossil fuels\, environmental protection\, etc. have increased the inte
 rest in integrating renewable energy sources into the existing power syste
 ms. In the presence of renewable energy sources along with the volatile na
 ture of demand and supply in electricity market environment\, it has becom
 e a challenging task for the power utilities to perform proper scheduling 
 of the generating units to serve the load demand at minimum operating cost
 . Forecasts are carried for various lengths of forecast horizons based on 
 the requirements. A short term forecast is useful in dealing with the oper
 ational problems like frequency and power balance\, voltage and reactive p
 ower support\, and power quality issues. On the other hand\, a long term f
 orecast is useful for planning and operational problems like\, economic sc
 heduling\, unit commitment and spinning reserve allocation. Power System f
 orecasting include load\, price\, RES output\, ancillary services. Various
  techniques are suggested in past including both the conventional and non-
 conventional techniques. The operation and stability of electric power sys
 tem is primarily governed by demand and supply balance. Various forecastin
 g models based on Adaptive Wavelet Neural Network (AWNN) for hourly predic
 tion\, as well as day-ahead power forecast will be discussed.\n\nCo-sponso
 red by: Webex:  https://ieeemeetings.webex.com/ieeemeetings/onstage/g.php?
 MTID=efd360d37c47a4812ae06243c751116fb  IEEE PES Peru  (number event 130 0
 49 9607 ) (password 1234)\n\nSpeaker(s): Dr. Prof. Sri Niwas Singh\, \n\nA
 genda: \nSaturday 20/02/2020 (08:30h) Lima/Bogotá (OR [19:00h](x-apple-da
 ta-detectors://1) Bombay - La India)\n\nThe webinar is free.\n\nCERTICATIO
 IN (OPTIONAL) For an IEEE Certification\, the cost is:\n\nGeneral public: 
 S/. 60 (Or USD $16.49).\n\nIEEE Members: S/. 50 (Or USD $11.34).\n\nStuden
 ts: S/. 30 (Or USD $8.30).\n\nBANK: BANCO DE CRÉDITO DEL PERU:\nMONEDA SO
 LES:\nCuenta Corriente: Nº 191-1850478-0-95\nCCI: 00219100185047809550\n\
 nMONEDA DÓLARES:\nCuenta corriente: N° 191-1191456-1-17\nCCI: 0021910011
 9145611757\n\nWe will send you an invoice according the following details:
 \n\nSECCION PERU DEL THE INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS
  INC\nRUC: 20502206134\nNombre Comercial: Sección Perú del IEEE\n\nLima\
 , Lima\, Peru\, Virtual: https://events.vtools.ieee.org/m/257193
LOCATION:Lima\, Lima\, Peru\, Virtual: https://events.vtools.ieee.org/m/257
 193
ORGANIZER:ricardo.ariasvelasquez.eng@ieee.org
SEQUENCE:10
SUMMARY:Role of Forecasting in Power Systems
URL;VALUE=URI:https://events.vtools.ieee.org/m/257193
X-ALT-DESC:Description: &lt;br /&gt;&lt;div&gt;Title of the webinar:&amp;nbsp\;Role of Fore
 casting in Power Systems&lt;/div&gt;\n&lt;div&gt;&lt;span style=&quot;color: #333333\; font-fa
 mily: Helvetica\, sans-serif\;&quot;&gt;Key Speaker: Dr.&amp;nbsp\;&lt;/span&gt;&lt;strong&gt;Sri 
 Niwas Singh (IEEE&amp;nbsp\;&lt;/strong&gt;DLP lecturer)&lt;span style=&quot;color: #333333\
 ; font-family: Helvetica\, sans-serif\;&quot;&gt;&lt;br /&gt;&lt;/span&gt;\n&lt;div&gt;Professor - M
 adan Mohan MalviyaUniversity of Technology&lt;/div&gt;\n&lt;address&gt;\n&lt;div&gt;Gorakhpu
 r&lt;br /&gt;Deoria Road&lt;br /&gt;Gorakhpur\,&amp;nbsp\;UP&lt;br /&gt;India&lt;/div&gt;\n&lt;div&gt;IEEE R
 egion 10 (Asia and Pacific)&lt;/div&gt;\n&lt;div&gt;&amp;nbsp\;&lt;/div&gt;\n&lt;div&gt;Abstract:&amp;nbsp
 \;&lt;/div&gt;\n&lt;div&gt;&amp;nbsp\;&lt;/div&gt;\n&lt;div&gt;Due to rapid industrialization and incr
 eased standard in the life style\, the electric power requirement is incre
 asing day-by-day. Various concerns related to progressive depletion of tra
 ditional fossil energy sources\, increasing cost of fossil fuels\, environ
 mental protection\, etc. have increased the interest in integrating renewa
 ble energy sources into the existing power systems. In the presence of ren
 ewable energy sources along with the volatile nature of demand and supply 
 in electricity market environment\, it has become a challenging task for t
 he power utilities to perform proper scheduling of the generating units to
  serve the load demand at minimum operating cost. Forecasts are carried fo
 r various lengths of forecast horizons based on the requirements. A short 
 term forecast is useful in dealing with the operational problems like freq
 uency and power balance\, voltage and reactive power support\, and power q
 uality issues. On the other hand\, a long term forecast is useful for plan
 ning and operational problems like\, economic scheduling\, unit commitment
  and spinning reserve allocation. Power System forecasting include load\, 
 price\, RES output\, ancillary services.&amp;nbsp\; Various techniques are sug
 gested in past including both the conventional and non-conventional techni
 ques. The operation and stability of electric power system is primarily go
 verned by demand and supply balance. Various forecasting models based on A
 daptive Wavelet Neural Network (AWNN) for hourly prediction\, as well as d
 ay-ahead power forecast will be discussed.&lt;/div&gt;\n&lt;/address&gt;&lt;/div&gt;&lt;br /&gt;&lt;b
 r /&gt;Agenda: &lt;br /&gt;&lt;p&gt;Saturday 20/02/2020 (08:30h) Lima/Bogot&amp;aacute\; (OR 
 &lt;a dir=&quot;ltr&quot; href=&quot;x-apple-data-detectors://1&quot;&gt;19:00h&lt;/a&gt; Bombay - La Indi
 a)&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;The webinar is free.&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;CERTICATIOIN (OPTIO
 NAL)&lt;/strong&gt; For an IEEE Certification\, the cost is:&lt;/p&gt;\n&lt;p&gt;General pub
 lic: S/. 60 &amp;nbsp\;(Or USD $16.49).&lt;/p&gt;\n&lt;p&gt;IEEE Members: S/. 50 &amp;nbsp\;(O
 r USD $11.34).&lt;/p&gt;\n&lt;p&gt;Students:&amp;nbsp\; &amp;nbsp\; &amp;nbsp\; &amp;nbsp\; S/. 30&amp;nbs
 p\;&amp;nbsp\;(Or USD $8.30).&lt;/p&gt;\n&lt;p&gt;BANK: &amp;nbsp\;BANCO DE CR&amp;Eacute\;DITO DE
 L PERU:&lt;br /&gt;MONEDA SOLES:&lt;br /&gt;Cuenta Corriente: N&amp;ordm\; 191-1850478-0-9
 5&lt;br /&gt;CCI: 00219100185047809550&lt;br /&gt;&lt;br /&gt;MONEDA D&amp;Oacute\;LARES:&lt;br /&gt;C
 uenta corriente: N&amp;deg\; 191-1191456-1-17 &amp;nbsp\;&lt;br /&gt;CCI: 00219100119145
 611757&lt;/p&gt;\n&lt;p&gt;We will send you an invoice according the following details
 :&lt;/p&gt;\n&lt;p&gt;SECCION PERU DEL THE INSTITUTE OF ELECTRICAL AND ELECTRONICS ENG
 INEERS INC&lt;br /&gt;RUC: 20502206134&lt;br /&gt;Nombre Comercial: Secci&amp;oacute\;n Pe
 r&amp;uacute\; del IEEE&lt;/p&gt;
END:VEVENT
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