Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 5 of 5 for “"electricity price forecasting"”.
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Electricity Price Forecasting Using a Convolutional Neural Network
… methods have been used to forecast real-time electricity prices in various regions around the world. The problem is difficult because of market volatility affected by a wide range of exogenous variables from weather to natural gas prices, and accurate price forecasting could help both …
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Valuing energy storage in electricity grids : a machine learning approach
… policy or decision rules, ideally charging when electricity prices are low and discharging when prices are high. In this thesis, state-of-the-art Machine Learning methods in the field of electricity price forecasting were used to accurately predict electricity prices. An improvement on existing …
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Forecasting and trading optimisation in the day-ahead and balancing market
… energy sector, they introduce challenges such as price volatility, efficient energy management, and curtailments. The rapid expansion of wind and solar power also increases variability in net power demand, posing significant reliability concerns for electricity grids. Addressing these challenges …
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Neuro-Fuzzy Based Intelligent Approaches to Nonlinear System Identification and Forecasting
… has been tested on real datasets related to electricity price forecasting for the ISO New England Power Distribution System. Its performance was compared against a number of alternative models, including ANFIS, AFLS, MLP and Wavelet Neural Network (WNN), and proved to be superior. The concept …
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Key Concepts and Methods in Point and Probabilistic Forecasting of Electricity Prices
L'abstract è presente nell'allegato / the abstract is in the attachment