SMART ENERGY:AI-DRIVEN OPTIMIZATION FOR SUSTAINABLE HOME EFFICIENCY | A Machine Learning Project
Автор: Anay Somani
Загружено: 2024-09-25
Просмотров: 75
Описание:
In this video, I explore how machine learning can be leveraged to optimize energy consumption in home heating and cooling systems. With the rise of environmental awareness, consumers are seeking smarter ways to reduce their energy usage while maintaining comfort. This project uses data from smart meters, user behavior, and external factors like weather to provide personalized energy-saving recommendations.
Throughout the video, I cover key elements of the project:
Opportunity Evaluation: Why machine learning is the perfect tool for addressing this challenge.
CRISP-DM Analysis: The business problem, success metrics, and relevant factors considered.
Solution Validation: The iterative approach used to ensure effective and impactful results.
ML System Design: Key decisions made regarding model type, data sources, and evaluation methods.
Production Risks: Potential challenges, including data drift and latency, and how we plan to address them.
Join me as I present this innovative AI solution that has the potential to make a significant impact on both individual energy savings and broader sustainability efforts.
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![Smart Energy Optimisation Platform [English Subtitles] | ApaGroup](https://image.4k-video.ru/id-video/ZcjcUjr3cX8)