The value of solar forecasts and the cost of their errors: A review
Despite the advances in solar forecasting methods, and their ever-increasing accuracy, little
is known about their value for real applications, eg, bidding in the electricity market, power …
is known about their value for real applications, eg, bidding in the electricity market, power …
Quantile regression based probabilistic forecasting of renewable energy generation and building electrical load: A state of the art review
With the increasing penetration of renewable energy in smart grids and the increasing
building electrical load, their accurate forecasting is essential for system design, control and …
building electrical load, their accurate forecasting is essential for system design, control and …
[HTML][HTML] Maximizing self-consumption rates and power quality towards two-stage evaluation for solar energy and shared energy storage empowered microgrids
Substantial penetration levels of intermittent and fluctuated renewable energy resources like
PV can cause overcapacity and other operational challenges in the grid. Therefore, energy …
PV can cause overcapacity and other operational challenges in the grid. Therefore, energy …
Multi-view neural network ensemble for short and mid-term load forecasting
Accurate load forecasting is essential to the operation and planning of power systems and
electricity markets. In this paper, an ensemble of radial basis function neural networks …
electricity markets. In this paper, an ensemble of radial basis function neural networks …
Probabilistic solar nowcasting based on all-sky imagers
The interest in shortest-term solar irradiance forecasts (nowcasts) increases steadily with the
increase share of distributed solar power generation. Such solar irradiance nowcasts are …
increase share of distributed solar power generation. Such solar irradiance nowcasts are …
Probabilistic forecasting of regional net-load with conditional extremes and gridded NWP
The increasing penetration of embedded renewables makes forecasting net-load,
consumption less embedded generation, a significant and growing challenge. Here a …
consumption less embedded generation, a significant and growing challenge. Here a …
Estimating the value of ECMWF EPS for photovoltaic power forecasting
We conduct a comparative study of deterministic-to-probabilistic (D2P) and probabilistic-to-
probabilistic (P2P) forecasting methods for photovoltaic (PV) power generation. In this …
probabilistic (P2P) forecasting methods for photovoltaic (PV) power generation. In this …
[HTML][HTML] Imbalance mitigation strategy via flexible PV ancillary services: The Italian case study
Large share of solar energy imposes a higher system flexibility to resolve the increased
demand/supply imbalance due to the inherent intermittency and variability of the resource. In …
demand/supply imbalance due to the inherent intermittency and variability of the resource. In …
Applications of probabilistic forecasting in smart grids: A review
This paper reviews the recent studies and works dealing with probabilistic forecasting
models and their applications in smart grids. According to these studies, this paper tries to …
models and their applications in smart grids. According to these studies, this paper tries to …
The value of PV power forecast and the paradox of the “single pricing” scheme: The Italian case study
One of the major problem of photovoltaic grid integration is limiting the solar-induced
imbalances since these can undermine the security and stability of the electrical system …
imbalances since these can undermine the security and stability of the electrical system …