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

Accurate net load forecasting is a cost-effective technique, crucial for the planning, stability,
reliability, and integration of variable solar photovoltaic (PV) systems in modern power …

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

As worldwide use of residential photovoltaic (PV) systems grows, system operators and
utilities will need to transition from forecasting pure demand to forecasting net load with …

Abstract Smart Island Energy Management (SIEM) heralds a new era in sustainable island
energy utilization, orchestrating an innovative system that optimizes efficiency and …

Net load forecasting (NLF) is a key component for the efficient operation and management of
microgrids at high shares of renewables. Depending on the forecasting strategy followed …

PV power plants are a promising renewable energy source nowadays. However, due to the
highly stochastic properties of renewable energy, monitoring and controlling PV power …

Real-time building-level load forecasting is important for demand response and power
system planning. Behind-the-meter (BTM) solar generation in buildings is not directly …

This work delves into the significant impact of Machine Learning (ML) on the advancement
and improvement of Energy Management Systems (EMS), focusing on the incorporation of …

Accurate net load forecasting is a cost-effective technique, crucial for the planning, stability,
reliability, and integration of variable solar photovoltaic (PV) systems in modern power …