Vis enkel innførsel

dc.contributor.advisorGonzalez, Daniel Romero
dc.contributor.authorMalakar, Niladri
dc.date.accessioned2024-07-30T16:23:28Z
dc.date.available2024-07-30T16:23:28Z
dc.date.issued2024
dc.identifierno.uia:inspera:222274016:22390932
dc.identifier.urihttps://hdl.handle.net/11250/3143764
dc.description.abstractArtificial intelligence (AI) has significantly altered our lives and will do so in the future. Among the several applications and industries that use it is building automation. Productivity has increased because of artificial intelligence's broad use and close ties to society and industry. A major development in building automation is the coming together of Artificial Intelligence (AI) and HVAC (heating, ventilation, and air conditioning) systems. This abstract examines how AI algorithms and HVAC technology work together, highlighting how they have the power to completely transform system performance, occupant comfort, and energy efficiency. Advanced algorithms are used by AI-driven HVAC systems to evaluate enormous volumes of sensor data, weather forecasts, occupancy patterns, and past usage. These systems enhance heating and cooling operations to dynamically respond to changing conditions while decreasing energy use through real-time monitoring and predictive analytics. Energy Efficiency, using predictive modeling, AI algorithms allow proactive HVAC setting adjustments that maximize energy efficiency without sacrificing comfort Predictive maintenance reduces downtime and lengthens system lifespan by using artificial intelligence (AI) to analyze equipment performance data, forecast probable breakdowns, and schedule maintenance operations in advance. Personalized Comfort, AI-enabled HVAC systems can recognize user preferences and modify airflow and temperature to optimize energy savings while improving personal comfort. Adaptive Control: By continuously learning from feedback on system performance, machine learning algorithms adjust operating parameters to achieve optimal performance under a range of circumstances. There is great potential for increasing productivity, cutting expenses, and raising occupant happiness through the integration of AI into building HVAC systems. These abstract lays the groundwork for future research on the usefulness and benefits of AIdriven HVAC technologies in the real world.
dc.description.abstract
dc.language
dc.publisherUniversity of Agder
dc.titleAnalyzing Data from HVAC Systems in Oslo School Buildings with Artificial Intelligence
dc.typeMaster thesis


Tilhørende fil(er)

Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel