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Load Shifting Agents for Automated Demand Side Management in Micro Energy Grids Abstract This paper describes a novel approach for the automated management of micro energy grids. In particular a market

Therefore, a single electronic trading computer is used to provide automated matching mechanisms to all users of an energy market. This system allows for low energy consumption, high reliability and high efficiency. The primary aim of this work is to show that automated energy market is a viable technology for the management of large, distributed energy networks. In practice the proposed system provides energy generators and consumers the following services: 1. Price Matching: a competitive market allows generators to sell their energy to consumers at a particular price. By using a price matching algorithm, the producers are able to find buyers for their energy and avoid over-spending. 2. Supply Matching: the market allows producers to sell energy to consumers (for both off-peak and on-peak periods) in order to balance demand and supply. It can also help to find suppliers that may need to adjust their capacity. 3. Market Indexing: the market allows consumers to look up the current rate of electricity consumption from a centralized source (e.g. a weather station or utility). By doing so a user can easily find out if an excess amount of energy is being sold, and in what circumstances. 4. Averaging: an automated mechanism that allows for consumers to compare their own consumption data against that at similar locations (regulations do not mandate that energy producers and consumers always correspond) and find out if they are experiencing a shortfall of or oversupply of electricity. In order to make a market in electricity demand and supply match efficiently you need a lot of computers that have similar processing power and the correct software that is able to handle all the transactions on these computers with minimal human intervention, this is where the auction computer comes in. Rethinking Demand Shifting Abstract This paper presents a simple framework for developing the demand shifting (DS) strategy for a network of interconnected demand side management (DAMS) agents on an electricity demand side platform. The paper first explains the DS strategy, and then introduces the market structure to enable DSS. The network of DSS agents is implemented using Bitcoin and a software network based upon Not. A DSS agent will receive an email every time an electricity grid is started. As a DSS agent is added to the network, it will receive new information about a grid. This data may include information that may indicate overloading or underutilization of a grid.

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