Electricity forecasting is an essential component of smart grid, which has attracted
increasing academic interest. Forecasting enables informed and efficient responses for …

Technology alone will not achieve building energy conservation goals, and humans and
their energy-related behavior in buildings must be included in energy performance efforts …

Electrification of transport offers opportunities to increase energy security, reduce carbon
emissions, and improve local air quality. Plug-in electric vehicles (PEVs) are creating new …

Abstract tAccurate forecasting simultaneously becomes more important and more
challenging due to the increasing penetration of photovoltaic (PV) systems in the built …

Wind and solar power have experienced rapid cost declines and are being deployed at
scale. However, their output variability remains a key problem for managing electricity …

During recent years, urban building energy modeling has become known as a novel
approach for identification, support and improvement of sustainable urban development …

The availability of increasing amounts of data to electricity utilities through the
implementation of domestic smart metering campaigns has meant that traditional ways of …

In the last four decades several methods have been used to model occupants' presence and
actions (OPA) in buildings according to different purposes, available computational power …

Due to the intermittency and uncertainty in photovoltaic (PV) power outputs, not only
deterministic point predictions (DPPs), but also associated prediction Intervals (PIs) are …

This paper describes the extension of CREST's existing electrical domestic demand model
into an integrated thermal–electrical demand model. The principle novelty of the model is its …