… the application of Machine Learning tools on energy related … such as energy consumption
forecast, energy analysis and energy … of adequate Machine Learning tools for energy efficiency …

… Buildings must be energy efficient and sustainable because buildings have contributed
significantly to world energy consumption and greenhouse gas emission. Predicting energy …

… effects model and our machine learning augmented version are … The key difference is that
our machine learning framework … our machine learning method, we find that energy efficiency …

… of machine learning-based building energy efficiency measures. … future machine
learning-based building energy efficiency … for machine learning models in building energy …

… The architecture of the MERIDA system suggested in this paper relies on our previous
research in which machine learning models have been developed to predict the energy efficiency …

… Machine Learning techniques are useful for extracting … the use of Machine Learning applied
to energy efficiency, which … the aid of different machine learning techniques. Such models …

… for energy efficiency. The energy efficiency of machine learning algorithms is important
as IoT or edge devices have limited computation and energy resources. For the hardware, …

… 1a summarises the most common AI-based machine and deep learning techniques … energy
efficiency-related applications, which are reviewed in this study. In machine learning, data …

… the operation of DCs to improve energy efficiency as they have shown the … to-use machine
learning methods with practical details to decrease the most commonly used energy efficiency …

… for social good, such efficiency information also needs to be … for assessing the efficiency of
learning tasks. Besides power … energy efficiency of household appliances via energy labels [13…