![The effects of residential real-time pricing contracts on transco loads, pricing, and profitability: Simulations using the N-ABLE(TM) agent-based model [An article from: Energy Economics]](https://www.ebooknetworking.net/books/B00/0PD/bigB000PDT7XI.jpg)
The effects of residential real-time pricing contracts on transco loads, pricing, and profitability: Simulations using the N-ABLE(TM) agent-based model [An article from: Energy Economics]
Description
This digital document is a journal article from Energy Economics, published by Elsevier in 2007. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
An agent-based model is constructed in which a demand aggregator sells both uniform-price and real-time price (RTP) contracts to households as means for adding price elasticity in residential power use sectors, particularly during peak-price hours of the day. Simulations suggest that RTP contracts help a demand aggregator (1) shift its long-term contracts toward off-peak hours, thereby reducing its cost of power and (2) increase its short-run profits if it is one of the first aggregators to have large numbers of RTP contracts; but (3) create susceptibilities to short-term market demand and price volatilities.
Description:
An agent-based model is constructed in which a demand aggregator sells both uniform-price and real-time price (RTP) contracts to households as means for adding price elasticity in residential power use sectors, particularly during peak-price hours of the day. Simulations suggest that RTP contracts help a demand aggregator (1) shift its long-term contracts toward off-peak hours, thereby reducing its cost of power and (2) increase its short-run profits if it is one of the first aggregators to have large numbers of RTP contracts; but (3) create susceptibilities to short-term market demand and price volatilities.
