Building systems are subject of dynamic system that have a general feature of non-linearity
and in turn, present us with different challenges for its optimized control of energy-saving …

Buildings contribute to climate change by consuming a considerable amount of energy to
provide thermal comfort for occupants. Cooling energy demands are expected to increase …

Different ways to evaluate the building energy balance can be found in literature, including
comprehensive techniques, statistical and machine-learning methods and hybrid …

As per economic development and urbanization, there is a touchy impact on energy
consumption for commercial building infrastructures. Energy consumption analysis of …

Electricity load forecasting is an important part of power system dispatching. Accurately
forecasting electricity load have great impact on a number of departments in power systems …

The real-time management and control of heating-system networks in residential buildings
has tremendous energy-saving potential, and accurate load prediction is the basis for …

Controlling buildings energy consumption is a great practical significance. During early
design stage, accurate and rapid prediction of energy consumption could provide a …

This paper assesses the performance of control algorithms for the implementation of
demand response strategies in the residential sector. A typical house, representing the most …

With the rapid growth in the volume of relevant and available data, feature engineering is
emerging as a popular research subject in data-driven building energy prediction owing to …

The advancement of smart meters using evolving technologies such as the Internet of
Things (IoT) is producing more data for the training of energy prediction models. Since many …