Abstract
In order to realize the goal of optimal use of energy sources and cleaner environment at a minimal cost, researchers; field professionals; and industrialists have identified the expediency of harnessing the computational benefits provided by artificial intelligence techniques. This article provides an overview of artificial intelligence (AI), chronological blueprints of the emergence of artificial neural networks (ANNs) and some of its applications in the energy sector. This short survey reveals that despite the initial hiccups at the developmental stages of artificial neural networks, ANN has tremendously evolved, is still evolving and have been found to be effective in handling highly complex problems even in the areas of modeling, control, and optimization, to mention a few. Keywords: artificial neural networks, energy sector, optimization JEL Classifications: Q4, P28 DOI: https://doi.org/10.32479/ijeep.8691
Highlights
The study of intelligence is one of the earliest disciplines (Russell and Norvig, 2016)
Unsupervised learning is currently not completely understood as a full-blown learning strategy, the strategy can be used to carry out certain initial characterization on inputs and its ability to adapt to the environment makes it an excellent promising learning strategy that can be found practically suitable in real-life situations which rarely present exact training sets and for situations where the unexpected aspect to life has to be prepared for
In a literature survey conducted by Ferrero et al (2019), it was pointed out that artificial neural networks (ANNs) is recommended for use when it is desired to generate new knowledge that is otherwise difficult to obtain; improve forecasting accuracy with a wide range of variable; when documentation of activities and data from variables, and replication of results with a high quality depends on good procedures and information systems and when results which are flexible and dynamically adaptable in model implementations are preferred over exact and very accurate results
Summary
The study of intelligence is one of the earliest disciplines (Russell and Norvig, 2016). Psychologist and cognitive theorists are of the view that intelligence is the ability to identify the proper piece of knowledge in the right instances of decision making (Konar, 1999; Russell and Norvig, 2016) From this viewpoint, AI has been construed as the simulation of human intelligence on a machine for efficient identification and utilization of the appropriate piece of “knowledge” at a particular stage of problem-solving by the machine. AI has been construed as the simulation of human intelligence on a machine for efficient identification and utilization of the appropriate piece of “knowledge” at a particular stage of problem-solving by the machine Another school of thought has stated that AI is a subject that has to do with computational model with the ability to think and act rationally and this has been justified by the opinion that rationality entails all elementary characteristics of intelligence.
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