In theory, building automation and management systems (BAMSs) can provide all the
components and functionalities required for analyzing and operating buildings. However, in …

In recent years, smart cities have emerged with energy conservation systems for managing
energy in cities as well as buildings. Although many studies on energy conservation systems …

In this constantly evolving landscape of urbanization, the relationship between technology
and automation, in regards to sustainability, holds immense significance. The intricate …

Building energy prediction plays a vital role in developing a model predictive controller for
consumers and optimizing energy distribution plan for utilities. Common approaches for …

Accurate load forecasting of district heating systems (DHSs) is an essential guide to
guaranteeing effective energy production, distribution, and rational utilization. Artificial …

Energy-efficiency is one of the critical issues in smart cities. It is an essential basis for
optimizing smart cities planning. This study proposed four new artificial intelligence (AI) …

In order to meet the ambitious emission-reduction targets of the Paris Agreement, energy
efficient transition of the building sector requires building retrofit methodologies as a critical …

Current power networks and consumers are undergoing a fundamental shift in the way
traditional energy systems were designed and managed. The bidirectional peer-to-peer (P …

Energy paradigm transition towards the carbon neutrality requires combined and continuous
efforts in cleaner power production, advanced energy storages, flexible district energy …

Predicting next-day heat load curves is essential to guarantee sufficient heat supply and
optimal operation of district heat systems (DHSs). Existing studies have mainly investigated …