Hi Friends,

Even as I launch this today ( my 80th Birthday ), I realize that there is yet so much to say and do. There is just no time to look back, no time to wonder,"Will anyone read these pages?"

With regards,
Hemen Parekh
27 June 2013

Now as I approach my 90th birthday ( 27 June 2023 ) , I invite you to visit my Digital Avatar ( www.hemenparekh.ai ) – and continue chatting with me , even when I am no more here physically

Monday, 18 October 2021

Treading ( gently ) on Solar Power Trading

 


Context :

CERC approves Integrated Day-ahead Market for Power  /  Eco Times  /  19 Oct 2021


Extract :

Ø  Power Regulator Central Electricity Regulatory Commission [ CERC ], on Sunday gave a go-ahead to DEVELOP an INTEGRATED day-ahead market for CONVENTIONAL electricity and RE-NEWABLE energy , as a major boost to GREEN PLANTS that will have two operations to sell their power

Integration of the EXISTING day ahead market for CONVENTIONAL power with RENEWABLE energy would mean that there will be a two-stage day ahead market with SEPARATE PRICE FORMATION for green energy

 

 MY  TAKE :


Dear Shri  R K Singhji

( Minister for Renewable Energy ),

 

This is just a small beginning / a small thrust for GREEN power ( but only for GRID SCALE Solar Power )


I believe a breakthrough in generation of ROOFTOP Solar can come, only when individual household owners can generate Rooftop Solar, AND be able to SELL the same on a Solar Power Trading Exchange


Towards this end, in the past, I have made following suggestions :

 

Ø  Congratulations , Shri R K Singhji …………………………………………[ 19 Nov 2020 ]


Extract :


Ø  This set-up will require NATIONAL SOLAR EXCHANGE in which ALL discoms will be mandated to become members

 

     >    Market-based Model for Renewable Energy ………………………[ 09 June 2021 ]


Extract :

 

#  Introduce “ Co-operative Farming of Solar Power / CFSP “ { call it a kind of

     “ Contract Farming “ }

     Incorporate this into just released FARM LAWS to encourage setting- up of :


    Solar Power  Farmer Cooperative Society “ along the lines of  Dairy

      Farmers’  AMUL Milk Cooperative Society Cooperative Society

          

               

 #   Solar Farm company can “ Sell “ ownership rights of solar panels

      to individuals in modules of 1000 sq ft, (costing Rs 4- 6 lakh per module )

                    

       These rights can be sold / transferred to any buyer, only with

       prior permission of the Solar Farm Company Concerned

        

         

   #    My nearest DISCOM will supply me those 10 KW, free of cost ( ie: deduct

         from my monthly usage ) 

         Any excess over my actual consumption, to be credited to my account

            

         

Ø  Not Good Enough ! …………………………………………………………….[ 02 Dec 2017 ]

 

Extract :

Ø      Anyone can generate and SELL electricity, anytime and to anyone and

         at any price 

=================================================                 

Ø  Congratulations , Shri Saurabh Patelji ………………………………..[ 31 Dec 2020 ]

 

Extract :


 Para # 4 :

      Ø  Consumers other than Residentials can set up Solar Projects on their

          Roof / Premises or can give  their roof / premises on lease to third party

          for generation & consumption of power within or OUTSIDE  the premises

           

              

Ø        Para # 6 :

      Ø   A group of consumers can set up solar projects for self-consumption as

           a COLLECTIVE OWNERSHIP PROJECT and consume the generated solar

           energy IN THE RATIO of OWNERSHIP 

           

=================================================

No Godfather for Rooftop Solar ? ……………………………………..[ 01 June 2021 ]


Extract :

 

Dear Shri R K Singhji ( Minister for Power ) :

Ø  It is high time we stop limiting our SOLAR VISION HORIZON like a “ Frog in

     the Well “

Ø  It is time to remember that the nomenclature : Roof Top Solar “ , somehow

    ties us down to the words ROOF TOP , which is only just one of the locations

    which can be used to harness Solar Energy

    

Ø  Solar Energy can also be harvested at other locations on Earth, such as

     FARMS , DESERTS, LAKES, MOUNTAIN TOPS, HIGHWAYS , TRAIN TRACKS,

    etc., or even through solar panels farms in  SPACE ( low earth orbits ? ),

     beaming electricity down to Earth-based receivers ( using micro-waves ? )

       

Ø  We must break loose  from the narrowly defined, Roof-Top Solar / Land-

    based Solar and latch on to the all-encompassing concept of :

      SOLAR  ENERGY  TRADING INFRASTRUCTURE  ( SETI  )

 

With regards,

Hemen Parekh  /  hcp@RecruitGuru.com  /  19  Oct 2021

 

Saturday, 16 October 2021

Congratulations, Pawan Goyal

 

Congratulations, Pawan Goyal

( Chief Business Officer – Naukri.com )

 

 

Context :

India Inc's hiring activity up 57% in September, according to Naukri's JobSpeak    /  Eco Times / 09 Oct

 

Naukri JobSpeak, a monthly hiring activity index based on job listings on Naukri.com, grew for the third consecutive month in September to hit a record high of 2,753, growing 21% over September 2019 levels and 57% year on year.

"India is witnessing a never-seen-before activity in hiring," said Pawan Goyal, chief business officer of Naukri.com.

 

My Take :


Ø  For looking up JOB STATISTICS for any particular month, look up :

             https://www.naukri.com/blog/naukri-jobspeak-report/

 

Ø  Here is a place where you can find / read all the JOB STATISTICS , in an elaborate manner :

             https://drive.google.com/file/d/1vLayE2rkidR6VGVjTrDXuExPO1fvrzfL/view


Obviously, the job-statistics presented are based on the actual “ Job Listings “ found on Naukri , month after month ( jobs posted by 76,000 employers registered on Naukri website )


But that is an incomplete picture , since there are hundreds of other Job Portals , which may carry , many more job-postings

If ,

Ø  Job Data from all the job-portals were to be available , on an on-going basis

And,

Ø  If these data was subjected to BIG DATA ANALYTICS / PREDICTIVE AI Software,

 

-     -  then , what insights can we have ?  

 

Ø  Here is a glimpse :

            ANNUAL   EMPLOYMENT   SURVEY  ? ………..[ 26 Oct 2015 ]


Extract :


Ø  Who ( which Companies ) are advertizing and when ?

 

Ø  What jobs / vacancies / positions are being advertized ?

 

Ø  What is the frequency with which a particular job gets advertized ? By entire industry ? By a given Company ?

 

Ø  Which regions / cities have max / min no of new jobs ?

 

Ø  What are regional disparities due to ?

 

Ø  Which Industries are advertising most – creating most jobs ?

 

Ø  What Edu Qualifications are in max demand ?

 

Ø  What kind of jobs demand what kind of Edu Qualifications ?

 

Ø  What is the level of co-relation between , Position and the years of Experience demanded ?

 

Ø  For identical positions being advertized , how much do “ Job Descriptions / Desired Profiles “ differ, from company to company ?

 

Ø  Are there significant differences in the “ No of years of Experience “ being demanded , for identical positions ?

 

Ø  What is the probability of finding the “ Keywords “ in “ Job Description / Desired Profile “ ?

 

Ø  What is the extent of duplication ( redundancy ? ) between , “ Job Description “ and “ Desired Profile “ ?

 

Ø  What percentage of Advts fail to make any mention of , Compensation Offered ?

 

Ø  When a company posts an advt for same / identical position , at different points of time , are there any differences in values ( fields ) ?

 

Ø  From an analysis of all the advts posted by a given Company ( over past 7 years ) , can any conclusion be reached as to the changing nature of that company’s business (by co-relating the “ Skills related Keywords “)?

 

Ø  Can the algorithm predict what job a company will advertize next – and when ?

 

Ø  Is there any correlation between , “ Designation / Position “ and the “ Keywords “ ?

 

Ø  From analyzing this huge data , can software auto-generate , a complete / editable job advt , as soon as a Recruiter simply types the “ Designation / Position “ ?


I believe , so far , no one has undertaken such a Data mining project

If carried out diligently , I am sure , the outcome would be of immense benefit to :

Ø HR Managers

 

      for Manpower Planning / Compensation Planning

 

Ø Recruiting Managers

 

      for framing Man Specifications / Job Description Manuals

 

Ø Educationists

 

      for deciding what Edu Quali are in demand and tailor the Courses

 

Ø Students

 

      to figure out what “ Skills “ are in demand by Industry and prepare

 

Ø Planning Commission ( NITI Aayog )

 

      for allocating Resources to States / Regions , based on imbalances

 

Ø  HRD Ministry

 

       For long term Macro-Planning in respect of Education

 

Ø National Skills Development Commission

 

      for chalking out Skills Development Programs in collaboration with Companies / Industries

What can / will such a project yield ?

 

Without exaggerating , it would be safe to assume that , this vast database of job advts would contain :

 

Ø  50 million phrases / sentences

 

Ø  500 million words

 

Obviously , each word / phrase / sentence , is nothing more than a

 

“ Database of Intentions “ of the Employer Companies

 

( to borrow from John Battelle’s well-researched book about Google )

 

Our goal shall be to make this ( Data mining Algorithm ) a dynamic / continuous “ Process “ , so that , we can measure the changing nature of these “ Intentions “ , over a long , long period

 

And we must enable a “ Researching Visitor ( of web site ) “, to benefit from these trends / patterns

 

Even though 5 million job advts may contain 500 million “ words “ , these are not Unique

 

Most of these are used again and again , hundreds or thousands of times

 

Thru data mining , it is not difficult to compute their “ Frequency of Usage “

 

And then , these frequencies can be graphically plotted against any particular time-period

 

Such Graphical Representations can be further broken up by ,

 

Ø  City Names

 

Ø  Company Names

 

Ø  Industry Names

 

Ø  Function Names

 

Ø  Designations ( Vacancy Names ).. etc

 

And such graphical analysis can be done , not only for “ Keywords “ but even for “ Key Phrases “ and “ Sentences “ !

 

 

===================================================


With regards,

Hemen parekh  /  hcp@RecruitGuru.com  /  17  Oct  2021

Friday, 15 October 2021

Dear Shri Goyalji : Logistics Cost can be 5 %

 


Context :

Gati Shakti to assist economy, help save ₹20 lakh cr: Goyal  /  HT  /  15  Oct  2021


Extract :

The integrated digital platform for infrastructure development—PM Gati Shakti—has the potential to reduce logistical costs from 13% to 8% in the next four-five years, which may lead to savings of about 20 lakh crore for an economy of $5 trillion, commerce and industry minister Piyush Goyal said on Thursday.

 

The minister said initially the idea to create a platform was primarily to reduce logistical costs, which is currently quite high at 13%. But gradually, the scope of it was extended. “Our aim is to bring it down from 13% to 8%,” Goyal said.

 

He said the platform will be opened for the private sector eventually so that they can also take benefit of integrated planning and execution of projects.

 

Currently, PM Gati Shakti portal is not open to the public.

 

===================================================

Dear Shri Goyalji,


Your guess is that the Gati-Shakti geo-spatial digital platform will :

Ø  Bring down our LOGISTICS COSTS , from 13 % to 8 %

Ø  Save Rs 20 lakh crore ( in next 4 – 5 years )

But, could Gati Shakti help bring down the logistics costs to ( say ) 5 % by 2023 ?

It can, if we implement :

Ø  A New Way to E-Way ?...................... [ 15 July 2017 ]

 

Extract :


My request / suggestion to GST Council :

       Aim to turn India’s highways into friction-less “ Conveyor Belts of Commerce “


      Look up conveyor belts in the warehouses of Amazon / Flipkart / UPS / FedEx etc , which carry hundreds of packages per minute – with each package carrying dozens of different items ( can we replace “ packages “ with TRUCKS and “ conveyor belts “ with HIGHWAYS ? )


      Each item within each box , has RFID chip and QR code ( interlinked )


      Sensors placed along the conveyor belt “ reads “ each package and each item inside each package . No need to stop the flow of the packages


      E-way Bill too , will have all the QR Codes / RFID data , of each item loaded onto the truck ( Price / Origin City / Destination City / Supplier with GSTN registration number / Recipient with his GSTN registration number / GST – ISGST – SGST amount for each item / Date of Dispatch / Validity of E Way Bill etc )


      Just like today’s Mobile Apps of UPS / FedEx enable online tracking of each package and of individual items within each package , that “ high technology interface “ being proposed by the Government should incorporate the following technologies :


   #   QR code / RFID chip

   #   GPSbased NaviC 

        https://myblogepage.blogspot.com/2017/05/leveraging-navic.html 

   #   Internet of Things ( IoT )

   #   Internetof Vehicles ( IoV )

        https://myblogepage.blogspot.com/2017/03/internet-of-vehicles-iov.html

   #   BlueTooth / NFC

By implementing my suggestion

Internetof Vehicles  /  https://myblogepage.blogspot.com/2017/07/fast-forward-to-iov.html  )

technology will SHUT DOWN the truck engine , upon detection of a violation !


And automatically unlock the engine when the violation gets corrected by EDITING the E-Way Bill , on GSTN web site !


===================================================


Dear Shri Piyush Goyalji,

 

As if this ( bringing down logistics cost to 5 % ) is not enough, I urge you to consider using the Geo-Spatial capability of Gati Shakti ( to track each and every of our 240 million vehicles , 24x7 ) , to :

Ø  Earn Rs 20 lakh*crore per year

Ø  Vastly reduce premature deaths from Air Pollution ( currently, 12 lakh / year ),

-        by implementing :

Ø  Transport : an Integrated Logistic Plan ? ……………….[ 20 Nov 2018 ]

 

 

With regards,

Hemen parekh / hcp@RecruitGuru.com  /  16 Oct 2021

 

Related Readings :

Ø  Accelerating Transport with Omnipresent RFID ……….[ 09 July 2021 ]

Ø  Slow – but as Envisaged ?....................................[ 19 May 2021 ]

Ø  From E-Way Bills to Express-ways of Commerce ? ……………[ 18 April 2021 ]

Ø  Monetizing Geospatial Data ………………………………………[ 16 Feb 2021 ]

Ø  Congratulations , Sid Chakravarthy ………………………….[ 24 July 2020 ]

Ø  Highways to Hyper-loops / #GST #EWay …………………[ 09 Mar 2018 ]