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## Adapting Internet of Things and Neural Network in Modelling Demand Side Energy Consumption and Management

#### Daniel ABODE [1] , Omowumi OLASUNKANMİ [2] , Waliu O. APENA [3] , Samson A. OYETUNJI [4]

With the recent application of micro-grid system and off-grid renewable energy power system using internet of things (IoT) for the efficacy in demand side consumption management. The study employed usage of IoT supported with statistical initiative (logistic regression) to develop a knowledge-based solution for energy demand side consumption management. The research adopted two approaches to model the energy consumption pattern of a user with designed sensor nodes for environmental data acquisition (DAC) monitoring and state of switches (load points). Leveraging on Internet of Things, the sensor node network transferred synchronized the data collected to Google Firebase cloud storage in real time. The data collected were used to train a logistic regression model for the prediction states of the receptacles and sensor readings. The study further investigated power usage (user) against human presence and hour (period) of the day separately and a mathematical model of the relationship was developed. The results revealed customer’s energy consumption; this includes models for the future projection. The model can be deployed to predict energy management on the demand side efficiency and availability indices. The models could support energy management including receptacle automation prediction and wastage monitoring.

Electrical Energy, Machine Learning, MATLAB, Sensor Node, DAC
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Primary Language en Engineering guz Articles Orcid: 0000-0002-4722-8518Author: Daniel ABODE Institution: Federal University of TechnologyCountry: Nigeria Orcid: 0000-0002-4797-5880Author: Omowumi OLASUNKANMİ (Primary Author)Institution: Olabisi Onabanjo UniversityCountry: Nigeria Orcid: 0000-0003-4947-578XAuthor: Waliu O. APENA Institution: Federal University of TechnologyCountry: Nigeria Orcid: 0000-0001-8171-0327Author: Samson A. OYETUNJI Institution: Federal University of TechnologyCountry: Nigeria I acknowledged research team headed by Dr. S.A. Oyetunji for his positive motivation and continuous support; including Engr. Sola Oladiran, the Federal University of Technology, Akure, Ondo State, Nigeria. Publication Date : November 1, 2020
 Bibtex @research article { cankujse625846, journal = {Cankaya University Journal of Science and Engineering}, issn = {}, eissn = {2564-7954}, address = {}, publisher = {Cankaya University}, year = {2020}, volume = {17}, pages = {118 - 127}, doi = {}, title = {Adapting Internet of Things and Neural Network in Modelling Demand Side Energy Consumption and Management}, key = {cite}, author = {Abode, Daniel and Olasunkanmi̇, Omowumi and O. Apena, Waliu and A. Oyetunjı, Samson} } APA Abode, D , Olasunkanmi̇, O , O. Apena, W , A. Oyetunjı, S . (2020). Adapting Internet of Things and Neural Network in Modelling Demand Side Energy Consumption and Management . Cankaya University Journal of Science and Engineering , 17 (2) , 118-127 . Retrieved from https://dergipark.org.tr/en/pub/cankujse/issue/57636/625846 MLA Abode, D , Olasunkanmi̇, O , O. Apena, W , A. Oyetunjı, S . "Adapting Internet of Things and Neural Network in Modelling Demand Side Energy Consumption and Management" . Cankaya University Journal of Science and Engineering 17 (2020 ): 118-127 Chicago Abode, D , Olasunkanmi̇, O , O. Apena, W , A. Oyetunjı, S . "Adapting Internet of Things and Neural Network in Modelling Demand Side Energy Consumption and Management". Cankaya University Journal of Science and Engineering 17 (2020 ): 118-127 RIS TY - JOUR T1 - Adapting Internet of Things and Neural Network in Modelling Demand Side Energy Consumption and Management AU - Daniel Abode , Omowumi Olasunkanmi̇ , Waliu O. Apena , Samson A. Oyetunjı Y1 - 2020 PY - 2020 N1 - DO - T2 - Cankaya University Journal of Science and Engineering JF - Journal JO - JOR SP - 118 EP - 127 VL - 17 IS - 2 SN - -2564-7954 M3 - UR - Y2 - 2020 ER - EndNote %0 Cankaya University Journal of Science and Engineering Adapting Internet of Things and Neural Network in Modelling Demand Side Energy Consumption and Management %A Daniel Abode , Omowumi Olasunkanmi̇ , Waliu O. Apena , Samson A. Oyetunjı %T Adapting Internet of Things and Neural Network in Modelling Demand Side Energy Consumption and Management %D 2020 %J Cankaya University Journal of Science and Engineering %P -2564-7954 %V 17 %N 2 %R %U ISNAD Abode, Daniel , Olasunkanmi̇, Omowumi , O. Apena, Waliu , A. Oyetunjı, Samson . "Adapting Internet of Things and Neural Network in Modelling Demand Side Energy Consumption and Management". Cankaya University Journal of Science and Engineering 17 / 2 (November 2020): 118-127 . AMA Abode D , Olasunkanmi̇ O , O. Apena W , A. Oyetunjı S . Adapting Internet of Things and Neural Network in Modelling Demand Side Energy Consumption and Management. CUJSE. 2020; 17(2): 118-127. Vancouver Abode D , Olasunkanmi̇ O , O. Apena W , A. Oyetunjı S . Adapting Internet of Things and Neural Network in Modelling Demand Side Energy Consumption and Management. Cankaya University Journal of Science and Engineering. 2020; 17(2): 118-127. IEEE D. Abode , O. Olasunkanmi̇ , W. O. Apena and S. A. Oyetunjı , "Adapting Internet of Things and Neural Network in Modelling Demand Side Energy Consumption and Management", Cankaya University Journal of Science and Engineering, vol. 17, no. 2, pp. 118-127, Nov. 2020

Authors of the Article
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