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

Wednesday, 2 July 2025

SEEM ( SAVE ENERGY : EARN MONEY ) PROJECT

 


To:


Shri Abhay Bakre


Director General, Bureau of Energy Efficiency (BEE) / dg-bee@nic.in


CC:


Shri Pralhad Joshi, Hon’ble Minister, New & Renewable Energy

ofcofmin-mnre@gov.in


Dear Sirs ,


Subject:  

Proposal for SEEM: Save Energy, Earn Money – Nationwide Smart Meter Pilot

 

Greetings.

I write to propose a comprehensive SEEM pilot (“Save Energy, Earn Money”), a

computer simulation experiment harnessing Smart Meter + Carbon Credit

 incentives to foster sustained power conservation at scale across Indian

 households.


How does SEEM work :

  Smart Connectivity:


Every electricity-consuming appliance in the home is connected to a central Smart

Meter via Wi-Fi.


  Plug-Level Sensing:


Between each appliance and its wall-mounted outlet sits an IoT-enabled Smart

 Plug with an embedded sensor. These plugs continuously monitor current

 flow and relay real-time consumption data to the Smart Meter.


  AI Agent Onboard:


The Smart Meter hosts an AI-enabled agent (SEEM) that processes this

 incoming data, compares it against pre-set Upper and Lower Consumption

 Limits for each appliance.


  Real-Time Scoring:

·         If usage exceeds the upper limit, the system logs a Carbon Debit.

·         If usage falls below the lower limit, a Carbon Credit is assigned.


  Autonomous Control:


Like a conductor of an orchestra, AI-SEEM coordinates the “appliance

 symphony”, optimizing usage patterns across the home.


  Proactive Automation:

·         The AI agent can autonomously switch off any appliance when its

 usage is unnecessary.

·         It can also notify the homeowner if any device appears to be

 malfunctioning or due for replacement.

 

📈 Project Scope & National Impact

Assuming:

  • 150 million 1-BHK  households

  • 100 million 2-BHK  households

  • 50 million   3-BHK  households

Pre- and post-smart-meter energy consumption (illustrative):

Type

Connected Load

Before (kWh/month)

After (kWh/month)

Annual Savings per Home (kWh)

1-BHK

~2.9 kW

210 kWh

178.5 kWh

372

2-BHK

~4.0 kW

280 kWh

238 kWh

504

3-BHK

~5.5 kW

385 kWh

327 kWh

684



Nationwide Annual Savings:

  • 1-BHK :  150 Million homes × 372   =  55.8  billion  kWh

  • 2-BHK :  100 Million homes × 504   =  50.4  billion  kWh

  • 3-BHK :  50 Million  homes  ×  684  =  34.2  billion  kWh

Total = 140.4  billion  kWh (140 TWh)


At ₹ 7 per unit :


Financial Savings = ₹ 9800 billion (~ ₹ 98,00,000 crores) annually


=  Avoiding installation of ~17 GW of new power plants every year.



🛠 Why BEE Should Host SEEM

  • Live demonstration:

Households witness appliances switching off, dashboards pulsating, and credit

 meters rewarding savings in real-time. { https://www.youtube.com/watch?

v=CyLYy9gpYzo }

 

 

  • Behavioral transformation:

Data shows month-on-month reduction in energy usage across billing cycles.

  • Scalability:

If proven successful, rollout via DISCOMs under BEE’s aegis can accelerate

 national adoption.

  • Alignment with National Missions:

Complements Mission LiFE and NMEEE goals and supports BEE’s mandate of

 reducing energy intensity.


📦 What We're Seeking

  • BEE endorsement to pilot in 3–5 cities via selected housing clusters.

  • Data-sharing support to calibrate appliance load profiles and billing
  •  patterns.

  • Institutional support to link with DISCOM billing cycles and Carbon Credit

  •  frameworks.

For a clear understanding of my proposal , look up Annexures below

I request your consideration for leading India’s energy-efficiency journey through

 SEEM

 

With Regards ,


Hemen Parekh


www.IndiaAGI.ai / www.HemenParekh.ai / www.HemenParekh.in / www.My-Teacher.in

hcp@RecruitGuru.com | +91‑  98,67,55,08,08


ANNEXURES :


( A )  3D apartment layout

( B )  12-month consumption

( C )  Smart-Dashboard visual demos

     ( D )   My original Proposal  

              ( Carbon Finance through Carbon Credits  ..  12 March 2021 )

 

 Basis for Technical Data:

  • Consumption reduction due to SEEM : ~ 15%  savings per household.

  • Unit cost: ₹ 7 (average retail residential).

  • 8,760 hours /  year per kW capacity ~1.2kWh per kW.





Related Reading :


Extract :

The report proposed a future where EVERY HOME with a solar panel, or an Electric Vehicle Battery, would be GENERATING , STORING and TRADING energy , instead of just consuming it 

The IEA chief also commented on the critical link between Artificial Intelligence ( AI ) and Energy

with India's rapidly expanding Digital Economy and efforts to harness the power of AI, he emphasized the need for a " sustainable, affordable and uninterrupted supply of electricity for data centres "


Fatih Birol 

executive Director , IEA  /  executivedirector@iea.org

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