Water demand modelling using evolutionary computation techniques: integrating water equity and justice for realization of the sustainable development goals

Oyebode, Oluwaseun; Babatunde, Damilola Elizabeth; Monyei, Chukwuka G.; Babatunde, Olubayo Moses

doi:10.1016/j.heliyon.2019.e02796

Cited by 16 publications

(7 citation statements)

References 83 publications

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“…Devido à complexidade da análise da demanda de água fez necessário o uso de ferramentas mais sofisticadas e robustas como redes neurais artificiais (Oyebode et al, 2019). Liu et al (2003) apresentam modelo simples de RNA, com uma camada, sendo que os autores concluem que o método se mostrou eficaz para a previsão de demanda de água na cidade de Weinan, na China.…”

Section: Fonte: Autores (2023)unclassified

Water demand forecast: a literature review

Lima

Trage

Souza

et al. 2023

RSD

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Forecasting water demand is fundamental to a region's social and economic development. In the literature there are several studies with specific applications, However, the topic still lacks a comprehensive view. Therefore, this article proposes a integrative review of the literature, to obtain an overview of the subject (methods, areas of application, objectives, and other factors). Using Methodi Ordinatio methodology, 74 articles with scientific relevance for analysis were selected, most of them published in the USA, Australia, and the United Kingdom. It was concluded that in the use of methods there is a predominance of the approach of artificial neural networks and regression analyzes. As for the application, most studies were for forecasting residential demand.

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Section: Fonte: Autores (2023)unclassified

Water demand forecast: a literature review

Lima

Trage

Souza

et al. 2023

RSD

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“…The acceptance of PBMT in diabetic wound healing could also be improved by its integration with artificial intelligence techniques. The adoption of machine learning and optimization techniques as well as other data‐driven and numerical modelling techniques have yielded numerous successes in other scientific and engineering domains 141‐144 . For instance, these techniques have been successfully used in optimal parameter selection and in solving complex multi‐objective tuning problems 145 .…”

Section: Challenges Future Perspectives and Conclusionmentioning

confidence: 99%

Photobiomodulation in diabetic wound healing: A review of red and near‐infrared wavelength applications

Oyebode

Houreld

Abrahamse

2021

Cell Biochemistry & Function

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The development of a painless, non‐invasive, and faster way to diabetic wound healing is at the forefront of research. The complexity associated with diabetic wounds makes it a cause for concern amongst diabetic patients and the world at large. Irradiation of cells generates a photobiomodulatory response on cells and tissues, directly causing alteration of cellular processes and inducing diabetic wound repair. Photobiomodulation therapy (PBMT) using red and near‐infrared (NIR) wavelengths is being considered as a promising technique for speeding up the rate of diabetic wound healing, eradication of pain and reduction of inflammation through the alteration of diverse cellular and molecular processes. This review presents the extent to which the potential of red and NIR wavelengths have been harnessed in PBMT for diabetic wound healing. Important research challenges and gaps are identified and discussed, and future directions mapped out. This review thus provides useful insights and strategies into improvement of PBMT, including its acceptance within the global medical research community.

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“…A comparison between classical optimization and meta-heuristic optimization techniques indicates that global optimality is not guaranteed for the solution provided by the latter [5]. In order to obtain a solution, meta-heuristic optimization techniques preform a search of the solution space of the problem to find near optimal solutions using a set of logical or empirical rules based on either social behavior, natural, biological, or physical occurrences [166]- [168]. Examples of meta-heuristic optimization techniques that have found applications in use for HRES modeling and design include simulated annealing (SA) [169], particle swarm optimization (PSO) [170]- [178], genetic algorithm (GA) [170], [179]- [187], ant colony (AC) algorithm [188]- [191], fruit fly optimization algorithm (FAO) [192], artificial bee colony (ABC) [193]- [197], artificial bee swarm (ABS) [198], Cuckoo Search algorithm [97], [170], discrete harmony search (DHS) [199], biogeography based optimization (BBO) [200]- [202], imperial competitive algorithm (ICA) [203], mine blast algorithm [204], brain storm optimization (BSO) [205].…”

Section: B Meta-heuristic Optimization Techniquesmentioning

confidence: 99%

A Comprehensive State-of-the-Art Survey on Hybrid Renewable Energy System Operations and Planning

2020

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The use of hybrid renewable energy systems among household consumers in sub-Sahara Africa (SSA) is increasingly gaining attention. This is due to low electrification rates in many of the countries in SSA. A hybrid energy system for power generation combines various energy systems, either renewable or a combination of renewable and fossil-powered sources for optimal power extraction and operation. In the era of decarbonization of the electricity grid through the use of renewable energy, hybridization of sources is an essential condition for the production of electricity. Based on current quest for renewable energy (RE) expansion in the global energy mix, optimum conditions for the production and adoption of hybrid renewable energy systems (HRES) at micro-levels are indispensable and must be advocated for. This can be justified based on the perpetually rising cost of energy for socio-economic development. This paper presents a survey of major issues regarding the motivations and specific benefits behind the adoption of HRES. Also presented, is a discussion on different renewable energy sources that can be adopted for HRES application for both grid and off-grid consumers. Furthermore, a discussion on the important issues as it pertains to the design and implementation of HRES is also presented. Finally, a policy discussion on the affordability of HRES in a low-income household is presented.INDEX TERMS Hybrid renewable energy, intermittent renewable energy, low-income household, operations and planning, decarbonization, affordability.

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Water demand modelling using evolutionary computation techniques: integrating water equity and justice for realization of the sustainable development goals

Cited by 16 publications

References 83 publications

Water demand forecast: a literature review

Water demand forecast: a literature review

Photobiomodulation in diabetic wound healing: A review of red and near‐infrared wavelength applications

A Comprehensive State-of-the-Art Survey on Hybrid Renewable Energy System Operations and Planning

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