arxiv.org/abs/2507.03028v1
This study employs Long Short-Term Memory (LSTM) networks to forecast key performance indicators (KPIs), Occupancy (OCC), Average Daily Rate (ADR), and Revenue per Available Room (RevPAR), across five major cities: Manchester, Amsterdam, Dubai, Bangk...
arxiv.org/abs/2505.10241v3
Artificial intelligence (AI) models have transformed weather forecasting, but their skill for gray swan extremes is unclear. Here, we analyze GraphCast, AIFS, and FuXi forecasts of the unprecedented 2024 Dubai storm, which had twice the training set'...
arxiv.org/abs/1908.10226v1
We present an end-to-end statistical framework for personalized, accurate, and minimally invasive modeling of female reproductive hormonal patterns. Reconstructing and forecasting the evolution of hormonal dynamics is a challenging task, but a critic...
arxiv.org/abs/2406.14798v2
Data-driven deep learning models are transforming global weather forecasting. It is an open question if this success can extend to climate modeling, where the complexity of the data and long inference rollouts pose significant challenges. Here, we pr...
github.com/liuxu77/LargeST
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting (NeurIPS 2023) (⭐ 271)
arxiv.org/abs/2001.04281v3
Distributed computing systems often consist of hundreds of nodes, executing tasks with different resource requirements. Efficient resource provisioning and task scheduling in such systems are non-trivial and require close monitoring and accurate fore...
arxiv.org/abs/2008.09842v1
One of the major goals of transport operators is to adapt the transport supply scheduling to the passenger demand for existing transport networks during each specific period. Another problem mentioned by operators is accurately estimating the demand...
arxiv.org/abs/2412.02590v1
Understanding convective processes leading to severe weather hazards within Mediterranean cyclones is relevant for operational forecasters, insurance industry, and enhancing societal preparedness. In this work we examine the climatological link betwe...
www.nfl.com/news/three-round-2026-nfl-mock-draft-jets-land-impact-defender-qb-in-round-1
In his first mock of the 2026 NFL Draft -- a three-rounder! -- Chad Reuter projects early runs on offensive linemen and wide receivers. Plus, the Jets meet two major needs. Check out the full forecast for Rounds 1-3.
www.nfl.com/news/dan-parr-2026-nfl-mock-draft-1-0-jets-trade-back-into-round-1-for-qb-commanders-go-rb
In his first mock of the 2026 NFL Draft, Dan Parr projects the Commanders to provide a new weapon for Jayden Daniels while the Jets make a trade for a QB. Check out the full Round 1 forecast, 1-32.
www.nfl.com/news/daniel-jeremiah-2026-nfl-mock-draft-2-0
In his second mock of the 2026 NFL Draft, Daniel Jeremiah forecasts the Giants to kick off a receiver run that goes six deep in the first 32 picks. Check out the full Round 1 projection.
en.wikipedia.org/wiki/Somalia
Publishers. p. 169. ISBN 978-90-8686-034-0. Library resources about Somalia Resources in your library Resources in other libraries Key Development Forecasts
arxiv.org/abs/2501.15499v2
Probabilistic forecasting in power systems often involves multi-entity datasets like households, feeders, and wind turbines, where generating reliable entity-specific forecasts presents significant challenges. Traditional approaches require training...
github.com/robjhyndman/expsmooth
Data sets from the book "Forecasting with exponential smoothing: the state space approach" by Hyndman, Koehler, Ord and Snyder (Springer, 2008). (⭐ 15)
arxiv.org/abs/1202.3209v2
There are many wildfire behaviors of increasing relevance that are outside the forecast capabilities of even the most sophisticated operational fire spread and fire behavior model. The limitations of the operational models are due primarily to their...
arxiv.org/abs/1112.0494v1
The ability to forecast grass fire spread could be of a great importance for agencies making decisions about prescribed burns. However, the usefulness of the models used for fire-spread predictions is limited by the time required for completing the c...
arxiv.org/abs/1803.06940v1
This paper has been written to mark 25 years of operational medium-range ensemble forecasting. The origins of the ECMWF Ensemble Prediction System are outlined, including the development of the precursor real-time Met Office monthly ensemble forecast...
arxiv.org/abs/2503.20419v1
This paper is part of a publication series from the For5G project that has the goal of creating digital twins of sweet cherry trees. At the beginning a brief overview of the revious work in this project is provided. Afterwards the focus shifts to a c...
arxiv.org/abs/2407.11045v1
This draft article outlines a prediction challenge where the target is to forecast the number of fatalities in armed conflicts, in the form of the UCDP `best' estimates, aggregated to the VIEWS units of analysis. It presents the format of the contrib...
www.bing.com/ck/a?!&&p=af222ca2d9dcde532dcfdf29e800f3d8ee588e1048d169061c41f4827c5038b3JmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=374d37e1-0434-619e-106f-20f005876067&u=a1aHR0cHM6Ly93ZWF0aGVyLm1ldG9mZmljZS5nb3YudWsvZm9yZWNhc3QvdWs&ntb=1
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