A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
PERFORMANCE EVALUATION OF ENERGY-SAVING BULBS IN SELECTED NIGERIAN LOCATIONS WITH ARTIFICIAL NEURAL NETWORK MODELLING
The performance evaluation of energy-saving bulbs in the Nigerian market is crucial in assisting energy auditing, which is beneficial to producers and consumers of electricity. Specifically, the high-power bills issued monthly by Electricity Distribution Company in most parts of Nigeria have made Nigerians in our various domestic homes embrace the latest lighting technology that consumes less energy.In this study, lighting system data were obtained from twenty-four households from different geographical zones in Nigeria. The performance evaluation of compact fluorescent light(CFL) bulbs was investigated and the observation was predicted with artificial neural networks (ANN) to enhance informed policy formulation and decision-makingResults showed that CFL bulbs givehigh-quality light that is cost-effective and environmentally friendly. ANN predicted the observation with high accuracies
PERFORMANCE EVALUATION OF ENERGY-SAVING BULBS IN SELECTED NIGERIAN LOCATIONS WITH ARTIFICIAL NEURAL NETWORK MODELLING
The performance evaluation of energy-saving bulbs in the Nigerian market is crucial in assisting energy auditing, which is beneficial to producers and consumers of electricity. Specifically, the high-power bills issued monthly by Electricity Distribution Company in most parts of Nigeria have made Nigerians in our various domestic homes embrace the latest lighting technology that consumes less energy.In this study, lighting system data were obtained from twenty-four households from different geographical zones in Nigeria. The performance evaluation of compact fluorescent light(CFL) bulbs was investigated and the observation was predicted with artificial neural networks (ANN) to enhance informed policy formulation and decision-makingResults showed that CFL bulbs givehigh-quality light that is cost-effective and environmentally friendly. ANN predicted the observation with high accuracies
PERFORMANCE EVALUATION OF ENERGY-SAVING BULBS IN SELECTED NIGERIAN LOCATIONS WITH ARTIFICIAL NEURAL NETWORK MODELLING
Ogunsola, A. D. (author) / Olaogun, O. (author) / Adeyi, A. J. (author) / Adeyi, O. (author) / Ibiwoye, M. O. (author) / Adegbola, A. A. (author)
2022-04-07
LAUTECH Journal of Engineering and Technology; Vol 16 No 1 (2022): Vol.16 No.1 (2022); 121-134 ; 2672-5940 ; 1597-0000
Article (Journal)
Electronic Resource
English
DDC:
690
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