An Intelligent Weather Station

Mestre, Gonçalo; Ruano, A. E.; Duarte, H.; Silva, Sérgio; Khosravani, H.; Pesteh, Shabnam; Ferreira, Pedro; Horta, Ricardo

doi:10.3390/s151229841

Cited by 46 publications

(46 citation statements)

References 19 publications

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“…All this data is wirelessly transmitted to a receptor, which in turn can be connected to a TCP/IP network. Further details on the design and operation of the intelligent weather station can be found in [14].…”

Section: Hardwarementioning

confidence: 99%

The IMBPC HVAC system: A complete MBPC solution for existing HVAC systems

Ruano

Pesteh

Silva

et al. 2016

Energy and Buildings

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Section: Hardwarementioning

confidence: 99%

The IMBPC HVAC system: A complete MBPC solution for existing HVAC systems

Ruano

Pesteh

Silva

et al. 2016

Energy and Buildings

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“…In addition, finally, for very short-term horizons, from few minutes up to six hours, the literature is dominated by statistical approaches based on linear or nonlinear models [12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Solar Forecasting in a Challenging Insular Context

Lauret¹,

Lorenz

David³

2016

Atmosphere

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This paper aims at assessing the accuracy of different solar forecasting methods in the case of an insular context. Two sites of La Réunion Island, Le Tampon and Saint-Pierre, are chosen to do the benchmarking exercise. Réunion Island is a tropical island with a complex orography where cloud processes are mainly governed by local dynamics. As a consequence, Réunion Island exhibits numerous micro-climates. The two aforementioned sites are quite representative of the challenging character of solar forecasting in the case of a tropical island with complex orography. Hence, although distant from only 10 km, these two sites exhibit very different sky conditions. This work focuses on day-ahead and intra-day solar forecasting. Day-ahead solar forecasts are provided by the European Center for Medium-Range Weather Forecast (ECMWF). This organization maintains and runs the Numerical Weather Prediction (NWP) model named Integrated Forecast System (IFS). In this work, post-processing techniques are applied to refine the output of the IFS model for day-ahead forecasting. Statistical models like a recursive linear model or a nonlinear model such as an artificial neural network are used to produce the intra-day solar forecasts. It is shown that a combination of the IFS model and the neural network model further improves the accuracy of the forecasts.

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“…In this time range, machine learning methods are the most used techniques [149]. There is already commercial instrumentation available that is capable of producing not only measurements, but also forecasts of weather variables [150].…”

Section: Guidelines For Future Researchmentioning

confidence: 99%

NILM Techniques for Intelligent Home Energy Management and Ambient Assisted Living: A Review

et al. 2019

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The ongoing deployment of smart meters and different commercial devices has made electricity disaggregation feasible in buildings and households, based on a single measure of the current and, sometimes, of the voltage. Energy disaggregation is intended to separate the total power consumption into specific appliance loads, which can be achieved by applying Non-Intrusive Load Monitoring (NILM) techniques with a minimum invasion of privacy. NILM techniques are becoming more and more widespread in recent years, as a consequence of the interest companies and consumers have in efficient energy consumption and management. This work presents a detailed review of NILM methods, focusing particularly on recent proposals and their applications, particularly in the areas of Home Energy Management Systems (HEMS) and Ambient Assisted Living (AAL), where the ability to determine the on/off status of certain devices can provide key information for making further decisions. As well as complementing previous reviews on the NILM field and providing a discussion of the applications of NILM in HEMS and AAL, this paper provides guidelines for future research in these topics.

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An Intelligent Weather Station

Cited by 46 publications

References 19 publications

The IMBPC HVAC system: A complete MBPC solution for existing HVAC systems

The IMBPC HVAC system: A complete MBPC solution for existing HVAC systems

Solar Forecasting in a Challenging Insular Context

NILM Techniques for Intelligent Home Energy Management and Ambient Assisted Living: A Review

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