Essays about: "Power Network"
Showing result 1 - 5 of 1283 essays containing the words Power Network.
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1. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. READ MORE
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2. Establishing High-Temperature Models for Leakage Current in Gated Lateral Bipolar Junction Transistors
University essay from Luleå tekniska universitet/Institutionen för teknikvetenskap och matematikAbstract : Power-efficient circuits are a vital step in moving towards a greener future. Battery life can get substantially improved by decreasing the amount of power a circuit needs. Lower power also leads to less excess heat generated. READ MORE
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3. Local Voltage Control in Converter Based PV Generation
University essay from Lunds universitet/Industriell elektroteknik och automationAbstract : As the world is trying to rid itself of its dependence on fossil fuels, the need for renewable energy is rapidly increasing. In the power distribution network (DN), this takes the form of distributed generation (DG) from renewable sources, such as photovoltaic (PV) power production. READ MORE
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4. Peak Load Shaving Strategies of an Office Building : A Case Study at AirSon
University essay from Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhetAbstract : Introduction: The global demand for renewable energy is expected to grow annually due to rising electricity consumption and economic and regulatory incentives. Efficient consumption and management of electricity consumption can support this trend (shifting from fossil resources to renewable resources) and benefit companies economically by reducing peak loads, reducing subscription costs, and protecting companies' power systems and networks. READ MORE
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5. Predicting Electricity Consumption with ARIMA and Recurrent Neural Networks
University essay from Uppsala universitet/Statistiska institutionenAbstract : Due to the growing share of renewable energy in countries' power systems, the need for precise forecasting of electricity consumption will increase. This paper considers two different approaches to time series forecasting, autoregressive moving average (ARMA) models and recurrent neural networks (RNNs). READ MORE