Essays about: "Load Forecasting"
Showing result 1 - 5 of 61 essays containing the words Load Forecasting.
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1. Forecasting Volatility of Electricity Intraday Log Returns with Generalized Autoregressive Score Models
University essay from Göteborgs universitet/Graduate SchoolAbstract : We forecast volatility of electricity intraday log returns with Generalized Autoregressive Score (GAS) models. We extend our GAS models with variables representing the difference between the public’s expectation of weather and energy load and the actual outcome using a restricted ARMA(4,4) model. READ MORE
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2. Condition Monitoring Of Machine Components From Drive Data Using Semi-Supervised Anomaly Detection Methods
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : The mission of the machine manufacturer is to gain insights from machine data to increase their machines' efficiency and sustainability. Continuously monitoring the machine data with machine learning helps to detect emerging mechanical problems and prevents unexpected failures. READ MORE
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3. COMPARATIVE ANALYSIS OF MACHINE LEARNING LOAD FORECASTING TECHNIQUES
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Load forecasting plays a critical role in energy management, and power systems, enabling efficient resource allocation, improved grid stability, and effective energy planning and distribution. Without accurate very short term load forecasting, utility management companies face uncertain load patterns, unrealistic prices, and poor infrastructure planning. READ MORE
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4. Forecasting of Heat Pump Power Consumption using Neural Networks
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : With the increase in electricity generation from renewable sources over recent years, the demand for ancillary services providing balancing support in the grid has risen. Demand side regulation can be performed by regulating consumption of some household devices, which can act as a virtual battery that can be loaded and unloaded into the grid. READ MORE
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5. Charging Towards Savings : How Utility Tariffs and Consumtion Profiles Impact the Profitability of BTM Battery Storage Systems
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Battery Storage Systems (BESS) installed Behind the Meter (BTM) can provide demand management services, reducing electricity costs and enhancing overall electricity system stability. BTM BESS can also imporve self-consumption obtained with distributed generation assets like solar photovoltaics. READ MORE
