Spark Booster-An Optimized IoT Architecture for Energy Sector Delving Predictive Analysis on Energy Usage With Stochastic Monte Carlo Method

Spark Booster-An Optimized IoT Architecture for Energy Sector Delving Predictive Analysis on Energy Usage With Stochastic Monte Carlo Method

Optimal energy distribution and Energy management in a dynamic environment in smart city applications is a challenging task that requires a more optimised method to predict energy consumption. This research presents a novel data-driven Internet of Things (IoT) architecture called Spark Booster to en...

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Bibliographic Details
Main Authors: S. Delsi Robinsha, B. Amutha, Vijayakumar Ponnusamy
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Energy consumption forecasting
IoT architecture
long short-term memory (LSTM) model
Markov chain modeling
message queuing telemetry transport
smart energy management
Online Access:https://ieeexplore.ieee.org/document/11028060/
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