With the continuous expansion of the scale of the power grid and the growth of the demand
for electricity, the digital and intelligent construction of distribution grids is urgently needed …

Load forecasting is a crucial task, which is carried out by utility companies for sake of power
grids' successful planning, optimized operation and control, enhanced performance, and …

Smart grid and microgrid technology based on energy storage systems (ESS) and
renewable energy are attracting significant attention in addressing the challenges …

This paper presents an optimization model for Home Energy Management Systems from an
aggregator's standpoint. The aggregator manages a set of resources such as PV …

Short term load forecasts will play a key role in the implementation of smart electricity grids.
They are required for optimising a wide range of potential network solutions on the low …

The present work proposes a stochastic approach for Day-Ahead operation of Home Energy
Management Systems when batteries, solar photovoltaic resources and Electric Water …

The growing number of electric vehicles (EV) is challenging the traditional distribution grid
with a new set of consumption curves. We employ information from individual meters at …

This paper proposes an optimization model to participate in day-ahead energy markets
when PV generation, thermal and electro-chemical storage devices are aggregated at the …

The deployment of distributed, behind-the-meter batteries operating on a peak-shaving
mode, could benefit the electricity network, by providing optimal and location-specific …

Short-term load forecasting is integral to the energy planning sector. Various techniques
have been employed to achieve effective operation of power systems and efficient market …