Results 11 to 20 of about 7,175,735 (307)
Intra-Day Solar Power Forecasting Strategy for Managing Virtual Power Plants. [PDF]
Solar energy penetration has been on the rise worldwide during the past decade, attracting a growing interest in solar power forecasting over short time horizons.
Moreno G +5 more
europepmc +2 more sources
Power Forecasting of Photovoltaic Power Generation System
In order to solve the problem of large errors in the power generation of solar photovoltaic system under different conditions, a new method for power generation prediction of solar photovoltaic system was proposed. By analyzing the structure of solar photovoltaic power generation system, the influencing factors of solar photovoltaic power generation ...
Pan WU
openaire +3 more sources
Integrated Correction Method of Multi-point Numerical Weather Prediction Wind Speed and Irradiance
Numerical weather prediction (NWP) correction is one of the key technologies to improve the accuracy of wind and solar power forecasting. However, there are few researches on the correction of NWP irradiance.
ZHANG Yongrui +4 more
doaj +1 more source
Time-Series Power Forecasting for Wind and Solar Energy Based on the SL-Transformer
As the urgency to adopt renewable energy sources escalates, so does the need for accurate forecasting of power output, particularly for wind and solar power.
Jian Zhu +7 more
doaj +1 more source
Solar Radiation Forecasting Based on the Hybrid CNN-CatBoost Model
The renewable energy industry is rapidly expanding due to environmental pollution from fossil fuels and continued price hikes. In particular, the solar energy sector accounts for about 48.7% of renewable energy, at the highest production ratio ...
Hyojeoung Kim +4 more
doaj +1 more source
Forecasting of Power Demands Using Deep Learning
The forecasting of electricity demands is important for planning for power generator sector improvement and preparing for periodical operations. The prediction of future electricity demand is a challenging task due to the complexity of the available ...
Taehyung Kang +3 more
doaj +1 more source
A Meta-Modeling Power Consumption Forecasting Approach Combining Client Similarity and Causality
Power forecasting models offer valuable insights on the electricity consumption patterns of clients, enabling the development of advanced strategies and applications aimed at energy saving, increased energy efficiency, and smart energy pricing.
Dimitrios Kontogiannis +3 more
doaj +1 more source
Prediction Error-Based Power Forecasting of Wind Energy System Using Hybrid WT–ROPSO–NARMAX Model
The volatility and intermittency of wind energy result in highly unpredictable wind power output, which poses challenges to the stability of the intact power system when integrating large-scale wind power.
Aamer A. Shah +5 more
doaj +1 more source
Wind Farm Power Forecasting [PDF]
Forecasting annual wind power production is useful for the energy industry. Until recently, attention has only been paid to the mean annual wind power energy and statistical uncertainties on this forecasting. Recently, Bensoussan et al. (2012) have pointed that the annual wind power produced by one wind turbine is a Gaussian random variable under a ...
Nabiha Haouas, Pierre R. Bertrand
openaire +1 more source
Solar Power Forecasting Using CNN-LSTM Hybrid Model
Photovoltaic (PV) technology converts solar energy into electrical energy, and the PV industry is an essential renewable energy industry. However, the amount of power generated through PV systems is closely related to unpredictable and uncontrollable ...
Suxann Lim +4 more
semanticscholar +1 more source

