Anomaly Detection in Weather Forecasting System

Anomaly detection in RFID system

The level of sophistication exhibited by RFID tags is not only affecting their financial cost but also their ability to provide (extensive) cryptographic functionalities. It follows that low-cost tags offer no real control access. To tackle this issue, we propose an anomaly detection system which attempts to identify deviations from the normal behavior. In practice, subjects are equipped with R...

Economic Impacts of Advanced Weather Forecasting in Energy System Operations

We analyze the impacts of adopting advanced weather forecasting systems at different levels of the decision-making hierarchy of the power grid. Using case studies, we show that state-of-the-art numerical weather prediction (NWP) models can provide high-precision forecasts and uncertainty information that can significantly enhance the performance of planning, scheduling, energy management, and f...

Probabilistic Weather Forecasting in R

Abstract This article describes two R packages for probabilistic weather forecasting, ensembleBMA, which offers ensemble postprocessing via Bayesian model averaging (BMA), and ProbForecastGOP, which implements the geostatistical output perturbation (GOP) method. BMA forecasting models use mixture distributions, in which each component corresponds to an ensemble member, and the form of the compo...

Long-range Weather Forecasting

Forecasting Space Weather

Forecasting space weather events presents the ultimate challenge to a space physics model. Not only should physical constraints be satisfied, but also practical issues such as timeliness, accuracy, and reliability must be adequately addressed. To address these needs, modern space weather forecasters and users rely on a great variety of space weather models, ranging from simple regressions and e...