There are two primary ways to save energy within a building:(1) through improving building
engineering structures and adopting efficient appliance ownership, and (2) through …

The exponential increase in data over the recent years has urged for techniques to log,
process and analyze these records. Heavy data repositories with a bulk of unprocessed …

State-of-the-art forecasting methods using Recurrent Neural Net-works (RNN) based on
Long-Short Term Memory (LSTM) cells have shown exceptional performance targeting short …

This study addresses the critical challenge of accurately forecasting electricity consumption
by utilizing Exponential Smoothing and Seasonal Autoregressive Integrated Moving …

This paper mainly studies about the prediction of energy consumed by appliances that have
been generally used in the house for low energy. Weather records from an adjacent station …

The paper presents the new concept of demand dispatch at the distribution level, in addition
to generation dispatch. It benefits of new communication capabilities and computation …

Energy efficiency in public buildings has become a major research field, due to the impacts
of the energy consumption in terms of pollution and economic aspects. For this reason …

This thesis intends to answer the following research question: What role will natural gas
serve in the transition to renewable energy sources in the German and British power sectors …

Because of energy efficiency, future modern buildings are going to be more complex to
manage than existing ones. Connection with smart grids as well as local adaptations to …

This paper mainly studies about the prediction of energy consumed by appliances that have
been generally used in the house for low energy. Weather records from an adjacent station …