The difficulty in balancing energy supply and demand is increasing due to the growth of
diversified and flexible building energy resources, particularly the rapid development of …

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 …

An accurate method for building energy consumption prediction is important for building
energy management systems. However, building energy consumption data often exhibits …

Mid-term electricity demand forecasting plays an important role in ensuring the operational
safety of the power system and the economic efficiency of grid companies. Most studies …

Demand forecasting is the basic aspect of supply chain management. It has important
impacts on planning, capacity and inventory control decisions. Seasonality is a common …

Accurate load forecasting can efficiently reduce the day-ahead dispatch stress of power
system or microgrid. The overview of load forecasting based on artificial intelligence models …

Predicting electricity demand (G) is crucial for electricity grid operation and management. In
order to make reliable predictions, model inputs must be analyzed for predictive features …

Accurate electricity consumption forecasting plays a significant role in power production and
supply and power dispatching. Thus, a new hybrid model combing a grey model with …

Photovoltaic (PV) solar power, which is considered as the most competitive clean energy
source, contributes to a significant percentage of electricity production in many developed …

In India, electricity bill is issued for two months once for the ingestion of the power. Even
though household power ingestions are low when compared to the industry, the power …