International Scientific Journal of Engineering and Management

An International Scholarly || Multidisciplinary || Open Access || Indexing in all major Database & Metadata
The journal follows the UGC Guidelines and is evaluated for inclusion in the Web of Science
ISSN: 2583-6129

Impact Factor: 8.072

Wattwise: Energy Saving Prediction and Consumption System

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Published 11 May 2026
Updated 11 May 2026

Wattwise: Energy Saving Prediction and Consumption System

 

 

 

Ramya R
Department of Computer Science and Engineering, K.S. Institute of Technology (Affiliated to VTU, Belagavi). Visvesvaraya Technological University, Belagavi - 590018. Bengaluru, Karnataka - 560109, India.

ramyar@ksit.edu.in

Navya K
Department of Computer Science and Engineering, K.S. Institute of Technology (Affiliated to VTU, Belagavi) Visvesvaraya Technological University, Belagavi - 590018. Bengaluru, Karnataka - 560109, India.

navyak_cse2023@ksit.edu.in

J M Harshitha Reddy
Department of Computer Science and Engineering, K.S. Institute of Technology (Affiliated to VTU, Belagavi). Visvesvaraya Technological University, Belagavi - 590018. Bengaluru, Karnataka - 560109, India. jmharshithareddy_cse2023@ksit.edu.in

Yashaswini B
Department of Computer Science and Engineering, K.S. Institute of Technology (Affiliated to VTU, Belagavi). Visvesvaraya Technological University, Belagavi - 590018. Bengaluru, Karnataka - 560109, India. yashaswinib_cse2023@ksit.edu.in

Jeevitha A P
Department of Computer Science and Engineering, K.S. Institute of Technology (Affiliated to VTU, Belagavi). Visvesvaraya Technological University, Belagavi – 590018. Bengaluru, Karnataka - 560109, India.

 jeevithaap_cse2023@ksit.edu.in

 

 

 

 

ABSTRACT:Electricity bills seem to go up every month, but honestly, most people have no clue which gadgets are draining their power. The old smart meters don’t help much—they just give you a big number and leave you guessing. That’s exactly why we created WattWise.WattWise uses AI to make sense of your energy usage. It relies on something called Non-Intrusive Load Monitoring— basically, you don’t need to stick fancy sensors everywhere. One smart meter does the job. Machine learning kicks in and breaks down who’s actually using what. You get clear info on how much your fridge, TV, or washer is guzzling.Here’s the deal: WattWise pulls appliance-level data straight from your main meter, uses AI to spot the patterns, and instantly flags any major spikes or odd activity.If your power jumps up out of nowhere, or something turns on late at night, you’ll know right away. It doesn’t stop there— WattWise gives you quick, personalized tips so you can start saving. It’s really all about putting you in control. No outrageous fees, just a tool that fits real life and keeps pace as things change.

KEYWORDS:Smart Energy Management, Non-Intrusive Load Monitoring (NILM), Energy Prediction, Artificial Intelligence, Load Disaggregation, Smart Meter Analytics, Demand Forecasting, Sustainable Computing

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