Internet of Things Applications for Energy Management in Buildings Using Artificial Intelligence—A Case Study DOI Creative Commons
Izabela Rojek, Dariusz Mikołajewski, Adam Mroziński

и другие.

Energies, Год журнала: 2025, Номер 18(7), С. 1706 - 1706

Опубликована: Март 28, 2025

IoT applications for building energy management, enhanced by artificial intelligence (AI), have the potential to transform how is consumed, monitored, and optimized, especially in distributed systems. By using sensors smart meters, buildings can collect real-time data on usage patterns, occupancy, temperature, lighting conditions.AI algorithms then analyze this identify inefficiencies, predict demand, suggest or automate adjustments optimize use. Integrating renewable sources, such as solar panels wind turbines, into systems uses IoT-based monitoring ensure maximum efficiency generation These also enable dynamic pricing load balancing, allowing participate grids storing selling excess energy.AI-based predictive maintenance ensures that systems, inverters batteries, operate efficiently, minimizing downtime. The case studies show AI are driving sustainable development reducing consumption carbon footprints residential, commercial, industrial buildings. Blockchain further secure transactions increasing trust, sustainability, scalability. combination of IoT, AI, sources line with global trends, promoting decentralized greener study highlights adopting management offers not only environmental benefits but economic benefits, cost savings independence. best achieved accuracy was 0.8179 (RMSE 0.01). overall effectiveness rating 9/10; thus, AI-based solutions a feasible, cost-effective, approach office management.

Язык: Английский

Internet of Things Applications for Energy Management in Buildings Using Artificial Intelligence—A Case Study DOI Creative Commons
Izabela Rojek, Dariusz Mikołajewski, Adam Mroziński

и другие.

Energies, Год журнала: 2025, Номер 18(7), С. 1706 - 1706

Опубликована: Март 28, 2025

IoT applications for building energy management, enhanced by artificial intelligence (AI), have the potential to transform how is consumed, monitored, and optimized, especially in distributed systems. By using sensors smart meters, buildings can collect real-time data on usage patterns, occupancy, temperature, lighting conditions.AI algorithms then analyze this identify inefficiencies, predict demand, suggest or automate adjustments optimize use. Integrating renewable sources, such as solar panels wind turbines, into systems uses IoT-based monitoring ensure maximum efficiency generation These also enable dynamic pricing load balancing, allowing participate grids storing selling excess energy.AI-based predictive maintenance ensures that systems, inverters batteries, operate efficiently, minimizing downtime. The case studies show AI are driving sustainable development reducing consumption carbon footprints residential, commercial, industrial buildings. Blockchain further secure transactions increasing trust, sustainability, scalability. combination of IoT, AI, sources line with global trends, promoting decentralized greener study highlights adopting management offers not only environmental benefits but economic benefits, cost savings independence. best achieved accuracy was 0.8179 (RMSE 0.01). overall effectiveness rating 9/10; thus, AI-based solutions a feasible, cost-effective, approach office management.

Язык: Английский

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