Journal ArticleDOI
Demand response and smart grids—A survey
Reads0
Chats0
TLDR
In this article, a survey of demand response potentials and benefits in smart grids is presented, with reference to real industrial case studies and research projects, such as smart meters, energy controllers, communication systems, etc.Abstract:
The smart grid is conceived of as an electric grid that can deliver electricity in a controlled, smart way from points of generation to active consumers. Demand response (DR), by promoting the interaction and responsiveness of the customers, may offer a broad range of potential benefits on system operation and expansion and on market efficiency. Moreover, by improving the reliability of the power system and, in the long term, lowering peak demand, DR reduces overall plant and capital cost investments and postpones the need for network upgrades. In this paper a survey of DR potentials and benefits in smart grids is presented. Innovative enabling technologies and systems, such as smart meters, energy controllers, communication systems, decisive to facilitate the coordination of efficiency and DR in a smart grid, are described and discussed with reference to real industrial case studies and research projects.read more
Citations
More filters
Journal ArticleDOI
A survey on smart metering and smart grid communication
TL;DR: The smart metering and communication methods used in smart grid are being extensively studied owing to widespread applications of smart grid as mentioned in this paper, and the security requirements of hardware and software in a smart grid is presented according to their cyber and physical structures.
Journal ArticleDOI
A Review of Architectures and Concepts for Intelligence in Future Electric Energy Systems
Thomas Strasser,Filip Andren,Johannes Kathan,Carlo Cecati,Concettina Buccella,Pierluigi Siano,Paulo Leitão,Gulnara Zhabelova,Valeriy Vyatkin,Pavel Vrba,Vladimir Marik +10 more
TL;DR: An overview of the state of the art and recent developments enabling higher intelligence in future smart grids is provided and the integration of renewable sources and storage systems into the power grids is analyzed.
Proceedings ArticleDOI
Building energy load forecasting using Deep Neural Networks
TL;DR: This paper presents a novel energy load forecasting methodology based on Deep Neural Networks, specifically, Long Short Term Memory (LSTM) algorithms that produced comparable results with the other deep learning methods for energy forecasting in literature.
Journal ArticleDOI
Reinforcement learning for demand response: A review of algorithms and modeling techniques
TL;DR: In this paper, a review of the use of reinforcement learning for demand response applications in the smart grid is presented, and the authors identify a need to further explore reinforcement learning to coordinate multi-agent systems that can participate in demand response programs under demand-dependent electricity prices.
Journal ArticleDOI
Optimal electrical and thermal energy management of a residential energy hub, integrating demand response and energy storage system
TL;DR: In this article, a residential energy hub model is proposed which receives electricity, natural gas and solar radiation at its input port to supply required electrical, heating and cooling demands at the output port.
References
More filters
Journal ArticleDOI
Autonomous Demand-Side Management Based on Game-Theoretic Energy Consumption Scheduling for the Future Smart Grid
Amir-Hamed Mohsenian-Rad,Vincent W. S. Wong,Juri Jatskevich,Robert Schober,Alberto Leon-Garcia +4 more
TL;DR: This paper presents an autonomous and distributed demand-side energy management system among users that takes advantage of a two-way digital communication infrastructure which is envisioned in the future smart grid.
Journal ArticleDOI
Demand Side Management: Demand Response, Intelligent Energy Systems, and Smart Loads
Peter Palensky,Dietmar Dietrich +1 more
TL;DR: An overview and a taxonomy for DSM is given, the various types of DSM are analyzed, and an outlook on the latest demonstration projects in this domain is given.
Journal ArticleDOI
Smart Grid Technologies: Communication Technologies and Standards
Vehbi Cagri Gungor,Dilan Sahin,Taskin Kocak,Salih Ergut,Concettina Buccella,Carlo Cecati,Gerhard P. Hancke +6 more
TL;DR: The main objective of this paper is to provide a contemporary look at the current state of the art in smart grid communications as well as to discuss the still-open research issues in this field.
Book
Renewable and Efficient Electric Power Systems
TL;DR: In this article, the authors present an overview of the early history of the electric power industry, including the early pioneers of the electrical power industry and the development of the modern electric power system.
Journal ArticleDOI
Optimal Residential Load Control With Price Prediction in Real-Time Electricity Pricing Environments
TL;DR: Simulation results show that the combination of the proposed energy consumption scheduling design and the price predictor filter leads to significant reduction not only in users' payments but also in the resulting peak-to-average ratio in load demand for various load scenarios.
Related Papers (5)
Demand Side Management: Demand Response, Intelligent Energy Systems, and Smart Loads
Peter Palensky,Dietmar Dietrich +1 more