SPOT-ENERGY: A User-Centric Platform for Energy Simulation, Prediction and Optimization

SPOT-Energy is a scalable, modular platform for appliance-level energy simulation, forecasting, and cost optimization. It leverages a Conditional Variational Autoencoder (CVAE) to model behavioral demand fluctuations, and combines Prophet time-series analysis with Long Short-Term Memory (LSTM) networks and CatBoost regressors for accurate, appliance-specific forecasts. Its intuitive web interface provides interactive dashboards, detailed consumption insights, cost projections, and AI-driven recommendations. Custom alerts and budget-tracking tools enable timely user interventions and promote energy-conscious habits. Validation on synthetic user profiles confirms SPOT-Energy’s ability to uncover inefficiencies and guide proactive, data-driven energy decisions.

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-08-31
DOI
https://doi.org/10.22214/ijraset.2025.73928
Primary Topic
Simulation Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

SPOT-ENERGY: A User-Centric Platform for Energy Simulation, Prediction and Optimization

International Journal for Research in Applied Science and Engineering Technology
Simulation Techniques and Applications
article

SPOT-ENERGY: A User-Centric Platform for Energy Simulation, Prediction and Optimization

article en

Abstract

SPOT-Energy is a scalable, modular platform for appliance-level energy simulation, forecasting, and cost optimization. It leverages a Conditional Variational Autoencoder (CVAE) to model behavioral demand fluctuations, and combines Prophet time-series analysis with Long Short-Term Memory (LSTM) networks and CatBoost regressors for accurate, appliance-specific forecasts. Its intuitive web interface provides interactive dashboards, detailed consumption insights, cost projections, and AI-driven recommendations. Custom alerts and budget-tracking tools enable timely user interventions and promote energy-conscious habits. Validation on synthetic user profiles confirms SPOT-Energy’s ability to uncover inefficiencies and guide proactive, data-driven energy decisions.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(8)
Openalex Percentile: Top 72%
Simulation Techniques and Applications
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