The building energy (BE) management plays an essential role in urban sustainability and
smart cities. Recently, the novel data science and data-driven technologies have shown …

The application of big data in the energy sector is considered as one of the main elements of
Energy Internet. Crucial and promising challenges exist especially with the integration of …

Many efforts are recently being dedicated to developing models that seek to provide insights
into the techno-economic benefits of battery storage coupled to photovoltaic (PV) generation …

Energy-efficient building design has become imperative for energy conservation, emissions
reduction, and life quality enhancement of occupant. Physics-based whole building energy …

As a result of the increasing demand for energy and the improvement of carbon emission
policies, the world energy system is now in the stage of transition [1]. In this stage, it is …

Predicting energy consumption in buildings plays an important part in the process of digital
transformation of the built environment, and for understanding the potential for energy …

Forecasting the success probability of a construction project is a critical activity in the ever
expanding construction industry. The present trend of forecasting is focused on cost …

The prediction of electricity generation is one of the most important tasks in the management
of modern energy systems. Improving the assertiveness of this prediction can support …

We propose a method for detecting and forecasting events of high energy demand, which
are managed at the national level in demand side response programmes, such as the UK …

Short-term building load forecasting is indispensable in daily operation of future
intelligent/green buildings, particularly in formulating system control strategies and …