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Smart transactive energy framework in grid-connected multiple home microgrids under independent and coalition operations

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TLDR
In this article, a smart transactive energy (TE) framework in which home microgrids (H-MGs) can collaborate with each other in a multiple H-MG system by forming coalitions for gaining competitiveness in the market.
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This article is published in Renewable Energy.The article was published on 2018-10-01 and is currently open access. It has received 181 citations till now. The article focuses on the topics: Demand curve & Market clearing.

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A Technical analysis investigating energy sustainability utilizing reliable renewable energy sources to reduce CO2 emissions in a high potential area

TL;DR: In this article, the authors investigated several sustainable hybrid renewable systems for electricity production in Iran and concluded that the hybrid configuration composed of photovoltaic (PV), wind turbine, diesel generator and battery produced the best outcome with an energy cost of 0.151$/kWh and 15.6% return on investment.
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IoT-based smart homes: A review of system architecture, software, communications, privacy and security

TL;DR: This article introduces its general, IoT-based architecture and sets smart homes within the larger context of the smart grid, and focuses on software solutions and components of smart home management systems, related communication technologies, and issues of privacy and security associated with the connected nature of modern smart homes.
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Local flexibility markets: Literature review on concepts, models and clearing methods

TL;DR: This paper reviews local flexibility markets, which are currently being discussed and designed to provide trading platforms for local participants, including distribution system operators and aggregators, and summarizes the key elements, technologies and participants.
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Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities

TL;DR: How AI techniques outperform traditional models in controllability, big data handling, cyberattack prevention, smart grid, IoT, robotics, energy efficiency optimization, predictive maintenance control, and computational efficiency is explored.
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Energy Sustainability in Smart Cities: Artificial Intelligence, Smart Monitoring, and Optimization of Energy Consumption

TL;DR: This paper examines smart metering and non-intrusive load monitoring (NILM) to make a case for the latter’s value added in context of profiling electric appliances’ electricity consumption and integrates insights from artificial intelligence, IoT, and big data analytics and queries them in a context defined by energy sustainability in smart cities.
References
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Journal ArticleDOI

Bidding Strategy for Microgrid in Day-Ahead Market Based on Hybrid Stochastic/Robust Optimization

TL;DR: Numerical simulations on a microgrid consisting of a wind turbine, a photovoltaic panel, a fuel cell, a micro-turbine, a diesel generator, a battery, and a responsive load show the advantage of stochastic optimization, as well as robust optimization.
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An Optimal Energy Management System for Islanded Microgrids Based on Multiperiod Artificial Bee Colony Combined With Markov Chain

TL;DR: A multiperiod artificial bee colony optimization algorithm is implemented for economic dispatch considering generation, storage, and responsive load offers and shows cost reduction, convergence speed increase, and the remarkable improvement of efficiency and accuracy under uncertain conditions.
Journal ArticleDOI

Game-Theoretic Demand-Side Management With Storage Devices for the Future Smart Grid

TL;DR: The Stackelberg game is shown to be the general case of the minimum Peak-to-Average power ratio (PAR) problem and to have a unique Nash equilibrium, that is also the global system optimal point.
Journal ArticleDOI

Real time experimental implementation of optimum energy management system in standalone Microgrid by using multi-layer ant colony optimization

TL;DR: In this article, an algorithm for energy management system (EMS) based on multi-layer ant colony optimization (EMS-MACO) is presented to find energy scheduling in microgrid (MG).
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Q1. What contributions have the authors mentioned in the paper "Smart transactive energy framework in grid-connected multiple home microgrids under independent and coalition operations" ?

This paper presents a smart Transactive energy ( TE ) framework in which home microgrids ( H-MGs ) can collaborate with each other in a multiple H-MG system by forming coalitions for gaining competitiveness in the market. A comprehensive simulation study is carried out to reveal the effectiveness of Email address: mousa. marzband @ northumbria. In this regard, demand shifting potential can be tapped through shifting certain amounts of energy demand from some time periods to others with lower expected demand, typically to match price values and to ensure that existing generation will be economically sufficient.