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Journal ArticleDOI

A bilevel model for electricity retailers' participation in a demand response market environment

TLDR
In this article, a game theoretical model for the Stackelberg relationship between retailers (leaders) and consumers (followers) in a dynamic price environment is proposed, where both players in the game solve an economic optimisation problem subject to stochasticity in prices, weather-related variables and must-serve load.
About
This article is published in Energy Economics.The article was published on 2013-03-01. It has received 316 citations till now. The article focuses on the topics: Dynamic pricing & Variable pricing.

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Citations
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Journal ArticleDOI

A Survey on Demand Response Programs in Smart Grids: Pricing Methods and Optimization Algorithms

TL;DR: This paper provides a comprehensive review of various DR schemes and programs, based on the motivations offered to the consumers to participate in the program, and presents various optimization models for the optimal control of the DR strategies that have been proposed so far.
Journal ArticleDOI

Benefits and challenges of electrical demand response: A critical review

TL;DR: A critical review of the literature in the field of demand response can be found in this article, where the authors provide an overview of the benefits and challenges of the demand response resource, including the ability to balance fluctuations in renewable generation and facilitate higher penetrations of renewable resources on the power system.
Journal ArticleDOI

Demand Response Management With Multiple Utility Companies: A Two-Level Game Approach

TL;DR: It is proved that the proposed strategies are able to make both games converge to their own equilibrium and is able to significantly reduce peak load and demand variation.
Journal ArticleDOI

Energy Pricing and Dispatch for Smart Grid Retailers Under Demand Response and Market Price Uncertainty

TL;DR: This paper proposes a two-stage two-level model for the energy pricing and dispatch problem faced by a smart grid retailer who plays the role of an intermediary agent between a wholesale energy market and end consumers and proposes a heuristic method to select the parameter in disjunctive constraints based on the interpretation of Lagrange multipliers.
Journal ArticleDOI

Multi-step ahead electricity price forecasting using a hybrid model based on two-layer decomposition technique and BP neural network optimized by firefly algorithm

TL;DR: In this article, a two-layer decomposition technique and a hybrid model based on fast ensemble empirical mode decomposition (FEEMD), VMD and back propagation neural network optimized by firefly algorithm are proposed.
References
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Journal ArticleDOI

Time series analysis

James D. Hamilton
- 01 Feb 1997 - 
TL;DR: A ordered sequence of events or observations having a time component is called as a time series, and some good examples are daily opening and closing stock prices, daily humidity, temperature, pressure, annual gross domestic product of a country and so on.
Book ChapterDOI

Time Series Analysis

TL;DR: This paper provides a concise overview of time series analysis in the time and frequency domains with lots of references for further reading.
Book

Linear and nonlinear programming

TL;DR: Strodiot and Zentralblatt as discussed by the authors introduced the concept of unconstrained optimization, which is a generalization of linear programming, and showed that it is possible to obtain convergence properties for both standard and accelerated steepest descent methods.
Book

Linear Optimal Control Systems

TL;DR: In this article, the authors provide an excellent introduction to feedback control system design, including a theoretical approach that captures the essential issues and can be applied to a wide range of practical problems.
Book

Mathematical Programs with Equilibrium Constraints

TL;DR: Results in the book are expected to have significant impacts in such disciplines as engineering design, economics and game equilibria, and transportation planning, within all of which MPEC has a central role to play in the modelling of many practical problems.
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