As the energy system transitions to an intelligent smart grid with a mostly renewable energy
supply, synthetic energy time series are required to facilitate the development and …

Electricity demand and its typical load pattern are usually affected by many endogenous and
exogenous factors to which the generation system must accordingly respond through utility …

In the current move towards a decarbonising energy generation, cities and residential users
can play a significant role. Solar photovoltaic has emerged as one of the main clean energy …

The rapidly increasing electricity demand and the expected increase in the contribution of
variable renewable energy sources raise the need for looking at the characteristics of long …

Distributed renewable energy systems are now widely installed in many buildings,
transforming the buildings into 'electricity prosumers'. Existing studies have developed some …

This paper presents a novel approach to forecast day-ahead electricity consumption for
residential households where highly irregular human behaviour plays a significant role. The …

Electricity is now the major form of energy used in residential buildings and has seen a
significant increase in usage over the past decades. One of the main features of electricity …

With the grid's evolution, the end‐users demand becomes more vital for demand side
management (DSM). Accurate load forecasting (LF) is critical for power system planning and …

In this article, a stochastic programming method is used to control a residential microgrid
where possible disturbance realizations over a horizon are shaped into a tree structure with …

This paper proposes a model for short-term electricity load with differentiated temperature
and daylight effects by time of day, which are determined by variations in intraday economic …