Results 61 to 70 of about 1,024,956 (306)

SVR with Hybrid Chaotic Immune Algorithm for Seasonal Load Demand Forecasting

Energies, 2011
Accurate electric load forecasting has become the most important issue in energy management; however, electric load demonstrates a seasonal/cyclic tendency from economic activities or the cyclic nature of climate.
Shih-Yung Wei, Wei-Chiang Hong, Li-Yueh Chen, Chien-Yuan Lai, Yucheng Dong   +4 more
doaj   +1 more source

r-a-dobson/seasonal-forecasting-quelea: V1.0

<p>First release of seasonal-forecasting-quelea repository containing code and data for generating seasonal forecasts of red-billed quelea (<em>Quelea quelea</em>) distribution up to seven months ahead</p ...
radobson
core   +1 more source

Thermal Shifts Dominate Single‐Gene Responses to Transcription‐Targeting Antibiotics

Advanced Science, EarlyView.
Thermal shifts reshape bacterial responses to transcription‐targeting antibiotics. In E. coli, temperature can dominate antibiotic‐induced genome‐wide expression, particularly outside 30°C–39°C, through changes in adenosine triphosphate (ATP), nucleoid organization, and drug‐target engagement.
Rahul Jagadeesan, Amir M. Arsh, Vatsala Chauhan, Suchintak Dash, Pooja Ravaria, Andre S. Ribeiro   +5 more
wiley   +1 more source

Seasonality and Forecasting of Monthly Broiler Price in Iran [PDF]

International Journal of Agricultural Management and Development, 2016
The objective of this study was to model seasonal behavior of broiler price in Iran that can be used to forecast the monthly broiler prices. In this context, the periodic autoregressive (PAR), the seasonal integrated models, and the Box-Jenkins ...
Azadeh Falsafian
doaj  

Seasonal Tropical Cyclone Forecasting

Tropical Cyclone Research and Review, 2019
This paper summarizes the forecast methods, outputs and skill offered by twelve agencies for seasonal tropical cyclone (TC) activity around the world.
Philip Klotzbach, Eric Blake, Joanne Camp, Louis-Philippe Caron, Johnny C.L. Chan, Nam-Young Kang, Yuri Kuleshov, Sai-Ming Lee, Hiroyuki Murakami, Mark Saunders, Yuhei Takaya, Frederic Vitart, Ruifen Zhan   +12 more
doaj   +1 more source

Climate Change is Rewriting the Hydroclimatic Operating Envelope of Mines

Advanced Science, EarlyView.
Climate change is shown to shift the hydroclimatic operating envelope of mines: 16.2% of represented mine locations have already changed Köppen subtype, rising to 42.5% by late century under SSP5‐8.5. Divergent water trajectories are filtered through geology, infrastructure and lifecycle stage, indicating that adaptation requires monitored, scenario ...
Haoxuan Yu, Izni Zahidi, Chow Ming Fai, Jilong Pan   +3 more
wiley   +1 more source

A Hybrid Machine Learning Framework for Daily Dairy Demand Forecasting: Integrating SARIMAX and XGBoost for Seasonal Production Optimization

IEEE Access
Accurate demand forecasting is a critical requirement in the dairy industry, where fluctuations in consumption, seasonal effects, and product perishability create significant operational challenges.
Mazin Obaidat, Hesham A. Almomani, Roxane Mallouhy, Abdalmageed AlMotari, Osama T. Al Meanazel   +4 more
doaj   +1 more source

Multi‐Omics Analyses Identify Candidate Genes Associated With Stage‐Specific Quality Formation in Mulching‐Treated Moso Bamboo Shoots

Advanced Science, EarlyView.
Organic mulching reprograms Moso bamboo shoot development, enhancing yield and nutritional quality. This multi‐omics study reveals that coordinated metabolic, transcriptional, and post‐transcriptional regulation drives stage‐specific quality formation, offering comprehensive insights into how this agricultural practice improves crop performance and ...
Bo Wang, Yanbin Wang, Chunyue Wang, Zishan Ahmad, Peixin Teng, Huijing Ni, Qiang Wei, Muthusamy Ramakrishnan   +7 more
wiley   +1 more source

SARIMA MODELLING APPROACH FOR RAILWAY PASSENGER FLOW FORECASTING

Transport, 2018
In this paper, railway passenger flows are analyzed and a suitable modeling method proposed. Based on historical data composed from monthly passenger counts realized on Serbian railway network it is concluded that the time series has a strong ...
Miloš Milenković, Libor Švadlenka, Vlastimil Melichar, Nebojša Bojović, Zoran Avramović   +4 more
doaj   +1 more source

Forecasting time series with complex seasonal patterns using exponential smoothing [PDF]

A new innovations state space modeling framework, incorporating Box-Cox transformations, Fourier series with time varying coefficients and ARMA error correction, is introduced for forecasting complex seasonal time series that cannot be handled using ...
Alysha M De Livera, Rob J Hyndman
core