With the increased variability and uncertainty of net load induced from high penetrations of
renewable energy resources and more flexible interchange schedules, power systems are …

Large scale integration of variable and uncertain Renewable Generation (RG) in power
systems causes frequent load-generation imbalances. Systems require additional …

A novel efficient probabilistic forecasting approach is proposed to accurately quantify the
variability and uncertainty of the power production from photovoltaic (PV) systems …

This paper presents a method to forecast the probability distribution function (PDF) of the
generated power of PV systems based on the higher order Markov chain (HMC). Since the …

Extending traditional deterministic economic dispatch to incorporate significant stochastic
wind power is an important but challenging task in today's power system decision making. In …

High penetration of distributed renewable energy introduces significant uncertainties to
active distribution networks. Optimal control methods accounting for inherent uncertainties …

The rapid development of renewable energy generation and demand side flexible resource
makes the operation of distribution network and the organisation of power market facing …

Ongoing reductions in the cost of solar photovoltaic (PV) systems are driving increased
installations by residential households. Various incentive programs such as feed-in tariff, net …

With the rapid growth of photovoltaic (PV) power in recent years, the stability of system
operation, the performance of system contingency analysis as well as the power quality of …

This paper presents a solar power forecasting scheme, which uses spatial and temporal
time series data along with a photovoltaic (PV) power conversion model. The PV conversion …