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Showing 1 to 3 of 3 for “"Energy Load Forecasting"”.
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An Analysis of Short-Term Load Forecasting on Residential Buildings Using Deep Learning Models
Building energy load forecasting is becoming an increasingly important task with the rapid deployment of smart homes, integration of renewables into the grid and the advent of decentralized energy systems. Residential load forecasting has been a challenging task since the residential load is highly …
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Forecasting Energy Consumption using Sequence to Sequence Attention models
… conditions, reduce operating costs, and identify energy savings opportunities, it is essential to efficiently manage energy consumption. Internet of Things (IoT) devices, including widely-used smart meters, have created possibilities for sensor based energy forecasting. Machine learning algorithms …
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Supervised Machine Learning Techniques for Short-Term Load Forecasting
<p>Electric Load Forecasting is essential for the utility companies for energy management based on the demand. Machine Learning Algorithms has been in the forefront for prediction algorithms. This Thesis is mainly aimed to provide utility companies with a better insight about the wide range of …