The increasing penetration of PV generation, driven by climate strategies and objectives,
calls for accurate production forecasting to mitigate the negative effects associated with …

The increasing integration of variable renewable technologies at distribution feeders, mainly
solar photovoltaic (PV) systems, presents new challenges to grid operators for accurately …

Long-range wide-area network (LoRaWAN) has emerged as a key technology for Internet of
Things (IoT) applications worldwide owing to its cost-effectiveness, robustness to …

With the help of a range of load models including static, dynamic, composite, and realistic
load models, the planning of distributed generations (DGs) in distribution networks is …

Modern microgrids require accurate net load forecasting (NLF) for optimal operation and
management at high shares of renewable energy sources. Machine learning (ML) principles …

The presence of distributed energy resources in private premises has observed a large
deployment worldwide driven by favorable governmental policies and technology …

The high proportion of distributed photovoltaic (DPV) access has changed the traditional
distribution network structure and operation mode, posing a huge threat to the stable …

Distributed photovoltaics (DPVs) are widely distributed and the output is random, which
brings challenges to the safe operation of the distribution network, so the construction of …

Solar photovoltaics (PV) are one of the low-carbon technologies to address climate change.
Residential PV and battery energy storage are expected to increase significantly in the near …

Solar photovoltaics (PV) are one of the low-carbon technologies to address climate change.
Residential PV and battery energy storage are expected to increase significantly in the near …