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                <text>Thesis</text>
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              <text>Models for load forecasting and demand response /</text>
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              <text>Increasing pressure on the utilities to accommodate energy efficiency, load management and progress in advanced technology has led to transformations of existing grids into smarter grids. With the development of Smart Grid Technology and the integration of smart meters it is possible to control the equipment installed at the consumer site. Creating awareness among the end users to participate in load management programs instead of capacity addition is the best solution for maintaining the stability in the grid. Utilities can also encourage consumer participation in load control activities. They can ensure that power is given to a consumer during his priority time. For this, loads have to be categorized, prioritized and then considered for load shedding so that revenue loss and social impacts of load shedding are minimized. It would be beneficial if a consumer's load is not completely shed during load shedding. Amount of power that is shed from a consumer can be limited and consumers can be allowed to adjust their loads based on the availability of power and get incentives from the utilities for their change in load pattern. Consumers are also benefited with the reduced energy charges on the consumed energy during these periods. </text>
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              <text>Margaret, Vijaya - 1247105</text>
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