نتایج جستجو برای: energy selling benefit
تعداد نتایج: 927070 فیلتر نتایج به سال:
This paper demonstrates how preferences for energy trading are influenced by autarky aspirations and possible financial benefits from in the form of lower expenses additional income. It presents findings a survey on community-based platform within residential estate setting. The included choice experiment hypothetical home choices with possibility peer-to-peer (P2P) platform. also distinguished...
Ways for the use of energy storage systems (ESS) in electrical networks are considered. The formalization general approach to solving problems efficient ESS is performed. article shows mathematical models evaluating effectiveness using and determination optimal configuration, including regulation modes electric networks. operation network with an connected group four standard IEEE 33-node 12.6 ...
Ho Chi Minh City, Vietnam’s largest city, supports a vibrant street food culture. Most of the city’s street-engaged traders are poor and unskilled women, there is scant research about how they build social networks capital that sustain their microbusinesses. This article focusses on intimate socialities develop with customers, shop owners sister-traders in order to stabilise incomes while infor...
Contracts often take the form of options: oil fields can be abandoned, planning permission may go unused, and acquired firms can be liquidated. We consider a seller who auctions a dynamic option among N agents. After the auction, the economy evolves and the winning bidder chooses both if and when to execute the option. The revenue-maximising auction consists of an up-front bid and a contingent ...
Due to volatility of spot power prices and in order to manage risk of a Generating Company (GenCo), this paper addresses determination of optimal quantity of bilateral forward contracts which can be formulated as an optimization problem. In this framework, in addition to selling electricity to spot market, bilateral forward contracts can be traded between Gencos and customers. Finding an optima...
In this paper, we propose a market model which is based on reputation and reinforcement learning algorithms for buying and selling agents. Three important factors: quality, price and delivery-time are considered in the model. We take into account the fact that buying agents can have different priorities on quality, price and delivery-time of their goods and selling agents adjust their bids acco...
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