Using Artificial Intelligence on environmental data from Internet of Things for estimating solar radiation: Comprehensive analysis

Kosović, Ivana Nižetić; Mastelić, Toni; Ivanković, Damir

doi:10.1016/j.jclepro.2020.121489

Cited by 19 publications

(11 citation statements)

References 30 publications

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“…High Dynamic Range vision sensors (Motamed et al. , 2017) and Artificial Intelligence (Kosovic et al. , 2020) were also used in the IoT era to obtain better energy efficiency inside buildings, as well as smart grids.…”

Section: Resultsmentioning

confidence: 99%

“…Chang et al (2020) described a "Sensible Energy System" (SENS), a system where solar energy simulation is combined with device consumption data aiming at promoting the interaction between occupant behavior and energy consumption. High Dynamic Range vision sensors (Motamed et al, 2017) and Artificial Intelligence (Kosovic et al, 2020) were also used in the IoT era to obtain better energy efficiency inside buildings, as well as smart grids.…”

Section: Devices Used For Monitoring Ieq Parametersmentioning

confidence: 99%

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The role of internet of things (IoT) in the assessment and communication of indoor environmental quality (IEQ) in buildings: a review

Broday

Silva

2022

SASBE

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PurposeThe changes brought by Industry 4.0 go beyond transformations in the industrial environment. The increasingly frequent digitization and robotization of activities is not only restricted to the industrial environment, but also to people's daily routine. People spend a large part of their time inside buildings, and maintaining adequate Indoor Environmental Quality (IEQ) is an essential factor for a healthy and productive environment. In this sense, the purpose of this study is to verify how the Internet of Things (IoT) is being used to improve the indoor environment, through sensors that instantly measure the conditions of the environment.Design/methodology/approachThe aim of this paper is to verify, through a literature review, how IoT is being used for building control (for energy saving purposes) and to monitor IEQ conditions inside buildings, in order to provide a better environment for occupants, in terms of health and comfort. By combining keywords in databases, PRISMA method was used to select the articles for analysis, and 91 articles were analyzed.FindingsThe main findings in this research are: (1) the main purpose for applying IoT inside buildings is to reduce energy consumption; (2) there is an interest in developing low-cost sensoring devices with a learning approach; (3) Machine Learning methods are mainly used for energy saving purposes and to learn about occupants' behavior inside buildings, focusing on thermal comfort; (4) sensors in the IoT era are a requirement to help improve people's comfort and well-being.Originality/valueStudies directly correlating IoT and IEQ are limited. This paper emphasises the link between them, through the presentation of recent methods to control the built environment.

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Section: Resultsmentioning

confidence: 99%

Section: Devices Used For Monitoring Ieq Parametersmentioning

confidence: 99%

The role of internet of things (IoT) in the assessment and communication of indoor environmental quality (IEQ) in buildings: a review

Broday

Silva

2022

SASBE

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“…Technology application AI (with real-world case applications) Fuzzy logic: [77] Random forest: [99] LSTM: [79] ANN: [81,88,99] Others: [89,94] AI (conceptual model with simulation, RNN, DNN, ML) [78,80,82,100,101] IoT (with real-world case applications) RFID, QR code/barcode: [96] Sensors: [77,81,[83][84][85][86][87]92,93,98,102] BC (conceptual model) [90,[103][104][105] Integration of technologies AI + IoT Conceptual model and/or simulation: [80,106] Designed and tested with real-world cases: [77,79,81] IoT + BC Conceptual model: [107] AI + IoT + BC Conceptual model: [31] Supply chain: Eighty out of the one hundred and thirty-nine publications related to supply chain were published in or after 2020, clearly indicating that supply chain is a new trending topic, as shown in Figure 5a. Reviewed publications were not separately listed out because only five publications engaged with real-world case applications (Table 7), all of which adopted IoT (Table S6).…”

Section: Energy Systemsmentioning

confidence: 99%

A Review on the Adoption of AI, BC, and IoT in Sustainability Research

WU¹,

Shirkey

Celik

et al. 2022

Sustainability

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The rise of artificial intelligence (AI), blockchain (BC), and the internet of things (IoT) has had significant applications in the advancement of sustainability research. This review examines how these digital transformations drive natural and human systems, as well as which industry sectors have been applying them to advance sustainability. We adopted qualitative research methods, including a bibliometric analysis, in which we screened 960 publications to identify the leading sectors that apply AI/BC/IoT, and a content analysis to identify how each sector uses AI/BC/IoT to advance sustainability. We identified “smart city”, “energy system”, and “supply chain” as key leading sectors. Of these technologies, IoT received the most real-world applications in the “smart city” sector under the dimensions of “smart environment” and “smart mobility” and provided applications resolving energy consumption in the “energy system” sector. AI effectively resolved scheduling, prediction, and monitoring for both the “smart city” and “energy system” sectors. BC remained highly theoretical for “supply chain”, with limited applications. The technological integration of AI and IoT is a research trend for the “smart city” and “energy system” sectors, while BC and IoT is proposed for the “supply chain”. We observed a surge in AI/BC/IoT sustainability research since 2016 and a new research trend—technological integration—since 2020. Collectively, six of the United Nation’s seventeen sustainable development goals (i.e., 6, 7, 9, 11, 12, 13) have been the most widely involved with these technologies.

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“…There are many other examples of using micromodels that replace part of the complex domain expert system. One of the examples is the replacement of a pyranometer (which is the important part of the smart building managing systems) with the low-cost set of sensors and software [17]. Another example is an early estimation of seawater quality, replacing a complex microbiological analysis of the seawater sample [18].…”

Section: B Related Workmentioning

confidence: 99%

In Search of Micromodels: Black-box Evaluation of Spatio-temporal Models in Normal and Extreme Conditions

Kosović

Mastelić

Sokol

et al. 2022

JCOMSS

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Spatio-temporal modelling is an emerging research area due to the increasing availability of sensor data collected across space and time. The models are build either with a modeldriven or data-driven approach. The former often results in complex monolith models that are not suitable for lightweight Edge deployment. The latter requires a vast amount of data and may not provide an overall good performance. Consequently, the data-driven approach is being used to substitute only parts of model-driven outputs, by creating micromodels that tackle specific scenarios. The main contribution of this paper is a definition and demonstration of the process for finding such scenarios for which a spatio-temporal model could be improved or replaced by a micromodel and deployed on Edge. The process is demonstrated on an example of a Numerical Weather Prediction model (NWP), namely its outputs of temperature and precipitation. NWP is evaluated using black-box testing considering the specificity of spatial and temporal components, in both normal and extreme conditions. The novelty of this process is its ability to highlight weaknesses of the existing expert models and suggest scenarios in which the models can be improved and deployed on the Edge.

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Using Artificial Intelligence on environmental data from Internet of Things for estimating solar radiation: Comprehensive analysis

Cited by 19 publications

References 30 publications

The role of internet of things (IoT) in the assessment and communication of indoor environmental quality (IEQ) in buildings: a review

The role of internet of things (IoT) in the assessment and communication of indoor environmental quality (IEQ) in buildings: a review

A Review on the Adoption of AI, BC, and IoT in Sustainability Research

In Search of Micromodels: Black-box Evaluation of Spatio-temporal Models in Normal and Extreme Conditions

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