RETRACTED ARTICLE: IOT based statistical performance improvement technique on the power output of photovoltaic system

Sivagami, P.; Jothiswaroopan, N. M.

doi:10.1007/s12652-020-01954-8

Cited by 18 publications

(6 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this part, the proposed strategy is characterized that consolidates CF and DF. The primary thought of the technique, which is not found in different works in the writing, is to have a mixture proposal approach that can be effortlessly utilized for the assessment of various classifiers to recognize which classifier performs better when segment information is coordinated into the suggestion cycle [ 20 ]. The sparsity issue is a significant test for recommender frameworks as far as creating the correct proposals for the correct clients.…”

Section: Proposed Methodsmentioning

confidence: 99%

RETRACTED ARTICLE: A novel hybrid feature combination method for enhanced movie recommendations with user resemblance and attitude mining

Lavanya

Bharathi

2021

Pers Ubiquit Comput

View full text Add to dashboard Cite

Most movie recommendation methods use hard-clustering and simple collaborative filtering techniques in order to achieve their end results. However, these methods tend to overlook crucial aspects of both users and items. When these methods hard cluster a movie item into a cluster, they turn a blind eye to the fact that the item also exhibits some properties of another cluster’s items. Recommender systems facilitate users and relevant things expeditiously supported their requests and historic communications with alternative customers. Recommendation systems are a crucial portion of signifying things particularly in streaming amenities. For streaming motion-picture show services like Netflix, recommendation methods are vital for serving to users notice fresh movies to get pleasure from. However, massive amounts of information will turn out restrictions in recommendations due to accuracy as a result of diversity and meagerness problems. Our work proposes a unique hybrid technique that mixes collaborative filtering and characteristics of demographic filtering technique to point the close users, and associate against one another. This technique has been established over associate in tending analysis of the way to cut back the blunders in grading estimates supported users’ earlier communications that ends up in improved prediction accuracy in among completely different algorithms. Additionally, a feature combination technique is utilized that progresses the expectation accuracy and to check our method, using MovieLens 1M dataset, we contended an offline assessment, already available assessment tactics, and compared the same with the output factors to support authenticating the proposed procedure.

show abstract

Section: Proposed Methodsmentioning

confidence: 99%

RETRACTED ARTICLE: A novel hybrid feature combination method for enhanced movie recommendations with user resemblance and attitude mining

Lavanya

Bharathi

2021

Pers Ubiquit Comput

View full text Add to dashboard Cite

show abstract

“…Unmanned vehicle with thermal camera is made to fly over the PV farm. The images are processed using IoT cloud portal to determine the exact location of hotspot on the panel [11][12][13][14].…”

Section: Iot For Renewable Energymentioning

confidence: 99%

Impact of IoT on Renewable Energy

Ponnalagarsamy¹,

Geetha²,

Pushpavalli³

et al. 2022

IoT Applications Computing

View full text Add to dashboard Cite

The emerging computing technology in this era is the Internet of Things. The network of intelligence that bridges various devices, systems located in remote locations together by means of cloud portal. IoT maybe equipped with millions or billions of devices. IoT handles large volume of data, process the huge data and performs useful control actions to make our life safe and simple. IoT evolves Human-human communication with thing-thing communication. IoT applications are not confined to a particular sector. In the fields such as health care, smart homes, industries, transportation, etc., the technology which is more influential is IoT. Energy sectors are now undergoing transformation. The transformation is driven by IOT. Green energy without IoT cannot be imagined in this energy sector. Renewable energy sources will be the major power producers among all the other sources due to the depletion of conventional energy sources. Among the renewable energy sources, Solar and Wind contributes more when compared to geothermal, biomass, etc. Renewable energy power production depends on environmental factors such as temperature, wind speed, light intensity etc. These factors affect the performance of energy conversion in renewable energy sources. Since our future generation will depend only on renewable energy, it becomes necessary for the researchers to integrate IOT to provide reliable and affordable energy. Renewable power generation helps in reducing the toxic level of gases which may be produced by thermal power stations during power generation. IoT brings about changes from generation to transmission to distribution. For example, let us compare the traditional grid with that of the smart grid. In the case of traditional one-way communication exists that is power produced from the power station is transmitted to the customer. The customer has to pay for the energy consumed. But smart grid has two-way communication. The customer has the capability to pay for the energy consumed only and if excess power produced can be transmitted to the grid. IoT helps in analyzing the demand as well the wastage of energy, helps in scheduling the load in order to reduce the cost. The sensors and data sciences with IOT helps in achieving the automation and intelligent operation of renewable energy farms, increases the efficiency and reliability of the farms to meet our future power demand.

show abstract

“…Many papers have been written in the past which presents the work related to the PV. One of the papers proposed an IoT-based monitoring system that tracks the impactful parameters for power generation such as temperature and dust [14]. The solution is designed to reduce losses which are caused by orientation, accumulation of dust and tilt angle by processing the collected data via the IoT monitoring system.…”

Section: Literature Reviewmentioning

confidence: 99%

A Low-Cost, Real-Time Rooftop IoT-Based Photovoltaic (PV) System for Energy Management and Home Automation

Uzair¹,

Al-Kafrawi²,

Al-Janadi³

et al. 2022

Energy Engineering

View full text Add to dashboard Cite

RETRACTED ARTICLE: IOT based statistical performance improvement technique on the power output of photovoltaic system

Cited by 18 publications

References 30 publications

RETRACTED ARTICLE: A novel hybrid feature combination method for enhanced movie recommendations with user resemblance and attitude mining

RETRACTED ARTICLE: A novel hybrid feature combination method for enhanced movie recommendations with user resemblance and attitude mining

Impact of IoT on Renewable Energy

A Low-Cost, Real-Time Rooftop IoT-Based Photovoltaic (PV) System for Energy Management and Home Automation

Contact Info

Product

Resources

About