The balance between supplied and demanded power is a crucial issue in the economic
dispatching of electricity energy. With the emergence of renewable sources and data-driven …

With synergies among multiple energy sectors, integrated energy systems (IESs) have been
recognized lately as an effective approach to accommodate large-scale renewables and …

Load forecasting is a critical aspect for power systems planning, operation and control. In
this paper, as part of research efforts of an ambitious project at Memorial University of …

The increased digitalisation and monitoring of the energy system opens up numerous
opportunities to decarbonise the energy system. Applications on low voltage, local networks …

With the increasingly widespread of advanced metering infrastructure, electric load
clustering is becoming more essential for its great potential in analytics of consumers' …

Forecasting of energy consumption in Smart Buildings (SB) and using the extracted
information to plan and operate power generation are crucial elements of the Smart Grid …

In today's world, renewable energy sources are increasingly integrated with nonrenewable
energy sources into electric grids and pose new challenges because of their intermittent and …

Probabilistic forecasting that quantifies the prediction uncertainties is crucial for decision-
making in power systems. As a prevalent nonparametric probabilistic forecasting approach …

Load forecasting is of crucial importance for operations of electric power systems. In recent
years, deep learning based methods are emerging for load forecasting because their strong …

Short-term electric load forecasting is essential for the operation of power systems and the
power market, including economic dispatch, unit commitment, peak load shaving, load …