Conventional models and artificial intelligence (AI)-based models have been widely applied
for energy consumption forecasting over the past decades. This paper reviews conventional …

Natural gas consumption forecasting technology has been researched for 70 years. This
paper reviews the history of natural gas consumption forecasting, and discusses the …

Electric power is the foundation of the development of national economy, it is necessary to
make a comprehensive evaluation of its development. Firstly, 17 secondary electric power …

A number of recent studies use deep belief networks (DBN) with a great success in various
applications such as image classification and speech recognition. In this paper, a DBN …

Energy usage and demand forecasting is an essential and complex task in real time
implementation. Proper coordination is required between the consumer and power …

National demand for electricity follows a regular and predictable daily pattern. This pattern is
set to change due to efficiency improvements, de-industrialisation and electrification of heat …

Selection of appropriate climatic variables for prediction of electricity demand is critical as it
affects the accuracy of the prediction. Different climatic variables may have different impacts …

Smart energy management mandates a more decentralized energy infrastructure, entailing
energy consumption information on a local level. Household-based energy consumption …

In deregulated electricity markets the independent system operator (ISO) oversees the
power system and manages the supply and demand balancing process. In a typical day the …

One strategy to significantly reduce greenhouse gas emissions in end-use sectors such as
building heat is to switch from fossil fuels to electricity. To date, electricity consumption …