A review on the selected applications of forecasting models in renewable power systems
This paper presents a literature review on the selected applications of renewable resource
and power forecasting models to facilitate the optimal integration of renewable energy (RE) …
and power forecasting models to facilitate the optimal integration of renewable energy (RE) …
The future of forecasting for renewable energy
Forecasting for wind and solar renewable energy is becoming more important as the amount
of energy generated from these sources increases. Forecast skill is improving, but so too is …
of energy generated from these sources increases. Forecast skill is improving, but so too is …
[HTML][HTML] Using artificial intelligence to improve real-time decision-making for high-impact weather
Using Artificial Intelligence to Improve Real-Time Decision-Making for High-Impact Weather
in: Bulletin of the American Meteorological Society Volume 98 Issue 10 (2017) Jump to …
in: Bulletin of the American Meteorological Society Volume 98 Issue 10 (2017) Jump to …
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 …
Robust optimal energy management of a residential microgrid under uncertainties on demand and renewable power generation
Smart microgrids are experiencing an increasing growth due to their economic, social, and
environmental benefits. However, the inherent intermittency of renewable energy sources …
environmental benefits. However, the inherent intermittency of renewable energy sources …
[HTML][HTML] Advances in solar forecasting: Computer vision with deep learning
Renewable energy forecasting is crucial for integrating variable energy sources into the grid.
It allows power systems to address the intermittency of the energy supply at different …
It allows power systems to address the intermittency of the energy supply at different …
A review on the integration of probabilistic solar forecasting in power systems
As one of the fastest growing renewable energy sources, the integration of solar power
poses great challenges to power systems due to its variable and uncertain nature. As an …
poses great challenges to power systems due to its variable and uncertain nature. As an …
Comparative study on KNN and SVM based weather classification models for day ahead short term solar PV power forecasting
Accurate solar photovoltaic (PV) power forecasting is an essential tool for mitigating the
negative effects caused by the uncertainty of PV output power in systems with high …
negative effects caused by the uncertainty of PV output power in systems with high …
Solar forecasting: methods, challenges, and performance
The deployment of solar-based electricity generation, especially in the form of photovoltaics
(PVs), has increased markedly in recent years due to a wide range of factors including …
(PVs), has increased markedly in recent years due to a wide range of factors including …
Power generation forecast of hybrid PV–wind system
Due to their intermittency and unpredictability, increasing the penetration level of renewable
energy (RE) resources to the power system leads to difficulties in operation. Reliable system …
energy (RE) resources to the power system leads to difficulties in operation. Reliable system …