Forecasting Price Spikes in Electricity Markets
نویسندگان
چکیده
Electricity markets are considered to be the most volatile amongst commodity markets. The non-storability of electricity and need for instantaneous balancing demand supply can often cause extreme short-lived fluctuations in prices. These termed price spikes. In this paper, we employ a multiclass Support Vector Machine (SVM) model forecast occurrence spikes German intraday market. As spikes, define prices that lie above 95th quantile estimated by fitting Generalized Pareto distribution innovation an AR-EGARCH model. generalization ability is tested out-of-the-sample dataset consisting 4080 hours. Furthermore, compare performance our best SVM against Neural Networks (NNs) Gradient Boosted Machines (GBMs).
منابع مشابه
Electricity price forecasting in deregulated markets: A review and evaluation
The main methodologies used in electricity price forecasting have been reviewed in this paper. The following price-forecasting techniques have been covered: (i) stochastic time series, (ii) causal models, and (iii) artificial intelligence based models. The quantitative analysis of the work done by various authors has been presented based on (a) time horizon for prediction, (b) input variables, ...
متن کاملDay-ahead Price Forecasting of Electricity Markets by a New Hybrid Forecast Method
Energy price forecast is the key information for generating companies to prepare their bids in the electricity markets. However, this forecasting problem is complex due to nonlinear, non-stationary, and time variant behavior of electricity price time series. Accordingly, in this paper a new strategy is proposed for electricity price forecast. The forecast strategy includes Wavelet Transform (WT...
متن کاملPower Forecasting in U . S . Electricity Markets
Wind power forecasting is becoming an important tool in electricity markets as the amount of wind power rapidly increases. However, the use of wind power forecasting in market operations and among market participants is still at an early stage. We discuss the current use of wind power forecasting in U.S. ISO/RTO markets, and give recommendations for how to make efficient use of the information ...
متن کاملApplication of an Improved Neural Network Using Cuckoo Search Algorithm in Short-Term Electricity Price Forecasting under Competitive Power Markets
Accurate and effective electricity price forecasting is critical to market participants in order to make an appropriate risk management in competitive electricity markets. Market participants rely on price forecasts to decide on their bidding strategies, allocate assets and plan facility investments. However, due to its time variant behavior and non-linear and non-stationary nature, electricity...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Review of Economic Analysis
سال: 2021
ISSN: ['1973-3909']
DOI: https://doi.org/10.15353/rea.v13i1.1822