Smart Energy Management for Smart Grids
This book is a contribution from the authors, to share solutions for a better and sustainable power grid. Renewable energy, smart grid security and smart energy management are the main topics discussed in this book.
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| Other Authors: | |
| Format: | Electronic Book Chapter |
| Language: | English |
| Published: |
MDPI - Multidisciplinary Digital Publishing Institute
2020
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| Subjects: | |
| Online Access: | DOAB: download the publication DOAB: description of the publication |
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| 072 | 7 | |a TBX |2 bicssc | |
| 100 | 1 | |a Longe, Omowunmi Mary |4 auth | |
| 700 | 1 | |a Ouahada, Khmaies |4 auth | |
| 245 | 1 | 0 | |a Smart Energy Management for Smart Grids |
| 260 | |b MDPI - Multidisciplinary Digital Publishing Institute |c 2020 | ||
| 300 | |a 1 electronic resource (350 p.) | ||
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| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 520 | |a This book is a contribution from the authors, to share solutions for a better and sustainable power grid. Renewable energy, smart grid security and smart energy management are the main topics discussed in this book. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by-nc-nd/4.0/ |2 cc |4 https://creativecommons.org/licenses/by-nc-nd/4.0/ | ||
| 546 | |a English | ||
| 650 | 7 | |a History of engineering & technology |2 bicssc | |
| 653 | |a programmable appliances | ||
| 653 | |a energy management system | ||
| 653 | |a MILP | ||
| 653 | |a sensitivity analysis | ||
| 653 | |a simulation | ||
| 653 | |a development demand | ||
| 653 | |a meta heuristic techniques | ||
| 653 | |a feedback | ||
| 653 | |a patent analysis | ||
| 653 | |a optimization | ||
| 653 | |a scenario planning | ||
| 653 | |a micro grids | ||
| 653 | |a solar generation | ||
| 653 | |a IEC 61499 | ||
| 653 | |a distributed energy management algorithm | ||
| 653 | |a technology adoption | ||
| 653 | |a ToU tariff | ||
| 653 | |a photovoltaic power | ||
| 653 | |a seawater pumped storage | ||
| 653 | |a peak reduction | ||
| 653 | |a planning | ||
| 653 | |a K-modes clustering | ||
| 653 | |a Gaussian process regression | ||
| 653 | |a multilayer perceptron neural network | ||
| 653 | |a economic feasibility analysis | ||
| 653 | |a EnergyPlus | ||
| 653 | |a intruder detection system | ||
| 653 | |a occupant behavior | ||
| 653 | |a HOMER | ||
| 653 | |a smart grid security | ||
| 653 | |a D strategy | ||
| 653 | |a smart energy | ||
| 653 | |a IEC 61850 | ||
| 653 | |a cyberattacks | ||
| 653 | |a semantic web technologies | ||
| 653 | |a renewable energy sources | ||
| 653 | |a optimal power flows | ||
| 653 | |a forecasting | ||
| 653 | |a heuristic | ||
| 653 | |a households | ||
| 653 | |a machine learning | ||
| 653 | |a micro grid | ||
| 653 | |a support vector machine | ||
| 653 | |a comprehensive evaluation | ||
| 653 | |a electricity charge discount program | ||
| 653 | |a model driven architecture | ||
| 653 | |a sustainable smart grid technology | ||
| 653 | |a rules | ||
| 653 | |a daily consumption curve | ||
| 653 | |a genetic algorithm | ||
| 653 | |a renewable energy | ||
| 653 | |a combined dispatch (CD) strategy | ||
| 653 | |a scheduling | ||
| 653 | |a technology acceptance | ||
| 653 | |a electric vehicle charging technology | ||
| 653 | |a energy consumption | ||
| 653 | |a ontology | ||
| 653 | |a theories of social practice | ||
| 653 | |a R& | ||
| 653 | |a unbalanced three-phase distribution networks | ||
| 653 | |a game theory | ||
| 653 | |a sustainability | ||
| 653 | |a distributed generation | ||
| 653 | |a energy storage system | ||
| 653 | |a energy and water consumption | ||
| 653 | |a active distribution networks | ||
| 653 | |a policy effectiveness evaluation | ||
| 653 | |a peak/off-peak | ||
| 653 | |a differentiation | ||
| 653 | |a graph theory | ||
| 653 | |a D planning | ||
| 653 | |a data mining | ||
| 653 | |a values | ||
| 653 | |a optimal power flow | ||
| 653 | |a Smart Grid Station | ||
| 653 | |a Korean Time Use Survey | ||
| 653 | |a smart grid architecture model | ||
| 653 | |a single-person household | ||
| 653 | |a holomorphic embedding load flow method | ||
| 653 | |a storage device | ||
| 653 | |a smart grid | ||
| 653 | |a smart metering | ||
| 653 | |a engineering support | ||
| 653 | |a two-stage | ||
| 653 | |a net present cost (NPC) | ||
| 653 | |a nash equilibrium | ||
| 653 | |a STEEP analysis | ||
| 653 | |a electrical distribution system | ||
| 653 | |a solar power generation prediction | ||
| 653 | |a storage capacity | ||
| 856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/2097 |7 0 |z DOAB: download the publication |
| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/59476 |7 0 |z DOAB: description of the publication |