Results 301 to 310 of about 2,583,540 (350)
Abstract Predicting the future health state of a transformer can offer early warning of latent defects and faults within the transformer, thereby facilitating the formulation of power outage maintenance plans and power dispatch strategies. However, existing prediction methods based on the structure of ‘splicing prediction and diagnosis method’ suffer ...
Peng Zhang+5 more
wiley +1 more source
Spectral normalization generative adversarial networks for photovoltaic power scenario generation
This paper integrates the spectral normalization method into the discriminator network to enhance the training stability of the network. Through simulations of centralized photovoltaic power station scenarios, the effectiveness of the selected methods is validated.
Xiurong Zhang, Shaoqian Fan, Daoliang Li
wiley +1 more source
An integrated prediction model based on meta ensemble learning for short‐term wind speed forecasting
Considering the fluctuation and randomness of wind speed, a new integrated forecasting model is proposed for short‐term wind speed forecasting (WSF). The meta ensemble learning algorithm in this model can automatically adjust the coefficient of each base predictor to achieve optimal forecasting accuracy.
Zhengwei Ma+5 more
wiley +1 more source
A novel method is proposed to improve the estimation of partial scattering functions from contrast variation small‐angle neutron scattering (CV‐SANS) data, based on Gaussian process regression using prior knowledge about the smoothness and flatness of S(Q).
Ippei Obayashi+3 more
wiley +1 more source
New opportunities for grassland species in warming temperate winters
Read the free Plain Language Summary for this article on the Journal blog. Abstract Temperate winters are getting warmer, the length of the growing season is increasing and mid‐winter fluctuations of warm and freezing temperatures are more frequent. Although typically winter dormant, some herbaceous perennials can maintain or grow green leaves during ...
F. Curtis Lubbe+3 more
wiley +1 more source
Understanding and predicting animal movements and distributions in the Anthropocene
This review provides a framework to better understand and predict animal movements and distributions in human‐modified environments. Bridging the gap between movement models and management/conservation policy is challenging. Here, the recommendations presented highlight the exciting opportunities now available to advance the field of movement ecology ...
Sara Gomez+24 more
wiley +1 more source
Studying the spatial ecology of ecologically relevant species supports the development of effective conservation strategies. Recent technological advancements in remote tracking methods now enable researchers to study large flower‐visiting insects and important pollinators, such as carpenter bees.
Sophie Kratschmer+12 more
wiley +1 more source
Flight behaviour was highly variable. Flights occurred during all weather conditions at different altitudes throughout the day over the entire season. Further research into the relationship between flight behaviour, weather variables, collisions and other factors is needed as a basis for developing shutdown regimes generally suitable for raptors.
Janine Aschwanden+2 more
wiley +1 more source
By quantifying the diet composition of GAPs over crop stages, farm types and years, this study reveals that generalist predators have potential to produce a stable, predictable top‐down effect on pests in rice agro‐ecosystems. Therefore, promoting the field densities of ubiquitous generalist predators will likely enhance pest management and support ...
Gen‐Chang Hsu+4 more
wiley +1 more source