Multi-Agent Optimization for Residential Demand Response under Real-Time Pricing
نویسندگان
چکیده
منابع مشابه
Residential Demand Response under Uncertainty
This paper considers a residential market with real-time electricity pricing and flexible electricity consumption profiles for customers. Such a market raises an optimisation problem for home automation systems where they need to schedule consumption activities to reduce costs, whilst maintaining a base level of comfort and convenience. This optimisation problem faces uncertainty in real-time p...
متن کاملOptimal Scheduling of CHP-based Microgrid Under Real-Time Demand Response Program
Microgrid (MG) is considered as a feasible solution to integrate the distributed energy sources. In this paper, optimal scheduling of a grid-connected MG is investigated considering different power sources as combined heat and power (CHP) units, only power and heat generating units, and battery storage systems. Two different feasible operating regions are considered for the CHP units. In additi...
متن کاملJoint optimization of pricing and capacity allocation for two competitive airlines under demand uncertainty
Nowadays, airline industries should overcome different barriers regarding the fierce competition and changing consumer behavior. Thus, they attempt to focus on joint decision making which enables them to set pricing and capacity allocation to maximize their profits. In this research, we develop a model to optimize pricing and capacity allocation in a duopoly of single-flight leg for two competi...
متن کاملCSEM WP 151 Residential Customer Response to Real-Time Pricing: The Anaheim Critical-Peak Pricing Experiment
This paper analyzes the results of a critical peak pricing (CPP) experiment involving 123 residential customers of the City of Anaheim Public Utilities (APU) over the period June 1, 2005 to October 14, 2005. Using a nonparametric condition mean estimation framework that allows for customer-specific fixed effects and day-of-sample fixed effects, I find that customers in the treatment group consu...
متن کاملDynamic pricing with real-time demand learning
In many service industries, the firm adjusts the product price dynamically by taking into account the current product inventory and the future demand distribution. Because the firm can easily monitor the product inventory, the success of dynamic pricing relies on an accurate demand forecast. In this paper, we consider a situation where the firm does not have an accurate demand forecast, but can...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Energies
سال: 2019
ISSN: 1996-1073
DOI: 10.3390/en12152867