Buildings use up to 40% of the global primary energy and 30% of global greenhouse gas
emissions, which may significantly impact climate change. Heating, ventilation, and air …

In the current energy context of intelligent buildings and smart grids, the use of load
forecasting to predict future building energy performance is becoming increasingly relevant …

Simulation is a proven technique that uses computational, mathematical, and machine
learning models to represent the physical characteristics, expected or actual operation, and …

Producing leafy vegetables in plant factories (indoor vertical farming) in controlled
environment provides a solution for food security to alleviate the impact of global warming …

The smart buildings' load forecasting is necessary for efficient energy management, and it is
easily possible because of the data availability based on widespread use of Internet of …

Before applying energy improvement strategies to real energy supply facilities, it is
necessary to have an accurate model of their dynamic energy behaviour in order to predict …

This work presents an extensive study on methodologies to calibrate electric energy
consumption in buildings. A comparison between several calibration methodologies shows …

Accurate load forecasting in buildings plays an important role for grid operators, demand
response aggregators, building energy managers, owners, customers, etc. Probabilistic load …

Cities and nations worldwide are pledging to energy and carbon neutral objectives that
imply a huge contribution from buildings. High-performance targets, either zero energy or …

The introduction of parametric tools has made a strong shift within a traditional approach to
urban planning and building design, including the creation of a design awareness zone …