The growth in population and economics the global demand for energy is increased considerably. large amount of comes from houses. Because this efficiency houses considered most important aspect towards sustainability. machine learning algorithms contributed heavily predicting consumed household level. In paper, a audit system using are developed to estimate at level order identify probable area...

<span>The objective of this paper is to study various methods adopted during the energy audit. Many countries are focusing on energy, not only enhancing tenable power generation sources but also utilizing more proficiently for economic utilization. The audit an important parameter all developing and developed they focus efficiency, quality, intensity. In industrial, residential, commercia...

The research was developed using digital twin techniques to predict thermal loads through real-time data on the HVAC system in center. physical device digitalized IoT (Internet of Things) technology, and this a space created represent prediction model. Instrumentation for acquisition monitoring systems techniques, as well an analysis performance center cooling system. aim obtain load prediction...