Data mining for energy analysis of a large data set of flats

AI for Sustainable Energy Management in Smart Cities in Nigeria

The findings indicated that the adoption of AI-driven energy management systems can substantially reduce peak energy load, minimize unplanned outages, lower maintenance costs, and cut carbon emissions, while providing grid operators and policymakers with accurate, real time insights.

From Data to Behavior: Artificial Intelligence-driven Insights for Sustainable Energy Management

The Internet of Behavior (IoB) is an emerging research domain that uses behavioral insights from the Internet of Things (IoT)- generated data to analyze and influence human actions. In the context of growing energy demand and the need for sustainable resource management, IoB systems offer a promising approach to optimi...

Edge Intelligence for Real-Time Industrial IoT Applications in Smart Manufacturing

This article discusses edge intelligence and its role in real-time industrial Internet of Things (IoT) applications in smart manufacturing settings. The series of experiments described herein provide evidence that using an edge computing architecture result in lower latency, higher reliability, better security and fast...

APPLICATION OF THE INTERNET OF THINGS (IOT) IN HYDRO-METEOROLOGICAL MONITORING NETWORKS: ARCHITECTURE, PERFORMANCE, AND CHALLENGES

Climate change, the increasing frequency and intensity of extreme weather events, and pressures for sustainable development have created an urgent need to modernize meteorological and hydrological (MH) monitoring systems. Traditional monitoring networks in Vietnam and many developing countries still face limitations re...

A Hybrid Model of Interaction Between IoT and ERP Systems in the Context of Industry 4.0

The interaction between Internet of Things (IoT) and Enterprise Resource Planning (ERP) systems in Industry 4.0 is still largely limited to data transfer and rarely turns sensor data into economically justified decisions. This paper proposes a hybrid model that combines edge-level preprocessing, a cloud probabilistic r...

Spectrum of Decision Making and Applications