Accurate and efficient prediction of electric water boiler (EWB) energy consumption is
significant for energy management, effective demand response, cost minimisation, and …

Even though Industrial Kitchens (IKs) are among the highest energy intensity spaces, very
little work has been done to forecast their consumption. This work explores the possibility of …

Forecasting techniques have gained considerable prominence within the electric energy
sector. Many studies have been documented in the literature, addressing various facets of …

The recent increase of smart meters in the residential sector has led to large available
datasets. The electricity consumption of individual households/devices can be accessed in …

Renewable energies are being introduced in countries around the world to move away from
the environmental impacts from fossil fuels. In the residential sector, smart buildings that …

Energy consumption prediction for building energy management systems (BEMS) is one of
the key factors in the success of energy saving measures in modern building operation …

Advances in metering technologies and emerging energy forecast strategies provide
opportunities and challenges for predicting both short and long-term building energy usage …

Energy consumption estimation for building energy management systems (BEMS) is one of
the key factors in the success of energy saving measures in modern building operation …

In this paper, a novel deep neural network-based energy prediction algorithm for accurately
forecasting the day-ahead hourly energy consumption profile of a residential building …

Building energy baseline models, particularly machine learning-based models, are a core
aspect in the evaluation of building energy performance to identify inefficient energy …