EcoSMEAL: Energy Consumption with Optimization Strategy via a Secured Smart Monitor-Alert Ensemble
DOI:
https://doi.org/10.59247/jfsc.v3i3.319Keywords:
IoTs, Energy consumption, Smart Monitor, Alert Ensemble, Machine Learning, Energy OptimizationAbstract
The global demand for automation that seeks the efficient consumption and usage of energy via the adoption of embedded-fit management solutions that yield improved performance with reduced consumption has become the new norm. These explore sensor-based units in their own right with eco-friendly platforms that raise germane environmental, health, and consumption regulation(s) concerns that have today become a global issue, even when they proffer improved life standards that replace traditional solutions. Our study posits an embedded sensor design to observe environmental conditions associated with energy consumption by residential or home appliances. It utilizes a machine learning scheme and algorithm to analyze the total energy consumed by each appliance and delivers optimal consumption that reduces energy waste. The system was tested across multiple parameters and found to yield desired effectiveness, reliability, and efficiency. Our utilization of the ESP8266 and ThingSpeak is able to handle extensive inputs without significant delays or data losses. Results affirms the system ability to maintain stable performance even with more devices connected to the unit.
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Copyright (c) 2025 Tabitha Chukwudi Aghaunor, Joy Agboi, Eferhire Valentine Ugbotu, Paul Avweresuoghene Onoma, Arnold Adimabua Ojugo, Christopher Chukwufunaya Odiakaose, Andrew Okonji Eboka, Peace Oguguo Ezzeh, Victor Ochuko Geteloma, Amaka Patience Binitie, Anderson Ise Orobor, Blessing Uche Nwozor, Patrick Ogholuwarami Ejeh, Christopher Chukwudi Onochie
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