Real-time optimization of renewable energy sources power using neural network-based anticipative extremum-seeking control

Management of renewable energy production and distribution planning using agent-based modelling

“…Mengova [3] explored the determinants of energy production from renewable sources and analysed the major constraints faced in moving towards a more environmentally friendly generation and use of energy. In 2019, authors in [4] presented a fast and accurate Real-Time Optimization (RTO) technique to manage production of different types of renewable energy sources (RES), and a design methodology for a hybrid energy system based on multiple renewable power sources was presented [5], and a power generation planning model that considers a high penetration of a wide range of renewable energy sources was developed [6]. A new analysis algorithm for determining the amount of renewable energy required in a widearea transmission network was developed in [7], and a micro-grid model that integrates the power plants driven by renewable energy sources employing a photovoltaic system for optimisation of utilisation of local renewable energy for on-grid area was proposed [8], and a multi-agent system for coordinating and controlling the renewable energy power generation and consumption units was implemented [9].…”

Optimization of microbial fuel cell operation using Danube River sediment

“…Global warming has been a main problem for years, but lately, the world has also been facing a lack of energy (Kumar et al, 2019). At the United Nations Climate Change annual meeting (UN Climate Change, 2019), the UN tried to draw attention to energy challenges, and they emphasized that the main area of interest, in recent years, is renewable energy sources (Kebir et al, 2019). Renewables cannot replace conventional fossil fuel-based energy sources, but using them in the right way, they can become remarkable sources of alternative energy (Slate et al, 2019).…”

Método de otimização adaptativa usando redes neurais artificiais

“…Até o ano 2011, tem-se o registro de que entre 250 e 300 companhias aplicaram esses tipos métodos de otimização nos seus processos produtivos, convencidas dos benefícios gerados por estas aplicações (DARBY et al, 2011). Algumas das aplicações típicas da otimização adaptativa estão desenvolvidas no campo da automação indústrial (HOU et al, 2004), das energias renováveis (KEBIR et al, 2019), e da produção de petróleo e gás (SAPUTELLI et al, 2005;MATIAS;JÄSCHKE, 2019). '…”