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Adaptive energy management in smart homes through fuzzy reinforcement learning and metaheuristic optimization algorithms to minimize costs. [PDF]
Sci RepHamedani MMK +3 more
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A multi-time scale rolling optimization framework for low-carbon operation of CCHP microgrids with demand response integration. [PDF]
PLoS OneWang J, Cheng Z, Lu D, Zhu M, Zhang D.
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Demand Response: Multiagent System Based DR Implementation
2021A successful implementation of DR (demand response) always depends on proper policy and their empower technologies. This paper proposed an intelligent multiagent system to idealize the residential demand response in distributed network. In our model, the primary stakeholders (smart homes and retailers) are demonstrated as a multifunctional intelligent ...
Faisal Saeed +3 more
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A Demand Response Energy Management System (DR-EMS) for sustainable district
2020 7th International Conference on Control, Decision and Information Technologies (CoDIT), 2020The present paper describes an Energy Management System developed to operate a polygeneration microgrid where demand response strategies are applied. The proposed tool is characterized by a detailed representation of generation units and flexible loads, as well as electric/thermal networks and storage systems.
Bianco G. +6 more
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An Incentive-Based Demand Response (DR) Model Considering Composited DR Resources
IEEE Transactions on Industrial Electronics, 2019Demand response (DR) has been recognized as a powerful tool to help mitigate power imbalances in a future smart energy system. This paper takes the point of view of a grid operator (GO) to establish an intraday resource trading framework, over which DR resources from different sectors (large industrial consumers and small-or middle-sized customers) are
Mengmeng Yu +3 more
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Measures to improve energy demand flexibility in buildings for demand response (DR): A review
Energy and Buildings, 2018Abstract This paper classifies and discusses the energy flexibility improvement strategies for demand responsive control in grid-interactive buildings based on a comprehensive study of the literature. Both supply and demand sides are considered. The flexibility measures range from renewable energy such as photovoltaic cells (PV) and wind to heating ...
Yongbao Chen +4 more
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A Machine Learning Model On Bids Submission For Power Demand Response (DR) Resources In Gas Market
2020 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR), 2020With the further development of the competitive gas market, market participants such as gas selling companies and large gas users have become one of the important trading entities. In this paper, gas turbine is used as demand response (DR) resources of the power system to support the energy transfer point of the gas network, and a machine learning ...
Ting Jin +5 more
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2011 IEEE PES CONFERENCE ON INNOVATIVE SMART GRID TECHNOLOGIES LATIN AMERICA (ISGT LA), 2011
This paper presents how the Dominican Republic Electricity Market has been addressing load management, switching the distribution system for financial control and energy loss reduction. This situation has generated among others several frequency stability issues in the power system and represents a real challenge for load estimation and centralized ...
A. Manzueta +3 more
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This paper presents how the Dominican Republic Electricity Market has been addressing load management, switching the distribution system for financial control and energy loss reduction. This situation has generated among others several frequency stability issues in the power system and represents a real challenge for load estimation and centralized ...
A. Manzueta +3 more
openaire +1 more source