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This paper proposes a neural network approach for forecasting short-term electricity prices. Almost until the end of last century, electricity supply was considered a public service and any price forecasting which was undertaken tended to be over the longer term, concerning future fuel prices and technical improvements. Nowadays, short-term forecasts have(More)
The daily routine of a student has a direct impact on her performance. Understanding the routine of students in the campus can help students as well as universities. We propose a smartphone based sensing mechanism to understand the daily routine of students inside a campus. Unlike survey-based methods of understanding trends among students, we explore the(More)
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