Anomalies in Heating, Ventilation, and Air Conditioning (HVAC) systems of buildings can lead to performance degradation, energy inefficiencies, and occupant discomfort. Automated anomaly detection is essential to prevent these issues. Machine learning based anomaly detection techniques are effective …

Battery energy storage (BES) can provide many grid services, such as power flow management to reduce distribution grid overloading. It is desirable to minimise BES storage capacities to reduce investment costs. However, it is not always clear how battery sizing is affected by battery siting and power …

The built environment requires energy-flexible buildings to reduce energy peak loads and to maximize the use of (decentralized) renewable energy sources. The challenge is to arrive at smart control strategies that respond to the increasing variations in both the energy demand as well as the variable …

Community energy can be conceptualized as a social movement, which aims to develop a sustainable, democratic, and localist energy system. Community energy organizations often take the form of cooperatives and strive for a high level of participation at the neighborhood level. Recently, community energy …

Green energy is just one of the two types of energy humanity needs, the energy for our man-made world, including cities, road networks, industries and technological systems (energy for the systems that drive out the ecology). However, a second type of energy is needed to meet our biological needs, energy …

Community energy can be conceptualized as a social movement, which aims to develop a sustainable, democratic, and localist energy system. Increasingly, community energy initiatives aim to develop citizen-led heating projects. District heating projects are characterized by costly investments, a substantial …

The energy management systems industry in the built environment is currently an important topic. Buildings use about 40% of the total global energy worldwide. Therefore, the energy management system’s sector is one of the most influential sectors to realize changes and transformation of energy use. New …

A resource optimization methodology is proposed for application in long range wide area networks (LoRaWANs). Using variable neighborhood search (VNS) and a minimum-cost spanning tree algorithm, it reduces the implementation and the maintenance costs of such low power networks. Performance evaluations …

This research investigates power optimization in Thread mesh wireless networks through an algorithmic approach, aiming to reduce overall power consumption while maintaining reliable network performance. Transmission power serves as a key parameter for achieving energy efficiency, and the study focuses …