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  ISGF (Indian Smart Grid Forum) dataset Information The ISGF (Indian Smart Grid Forum) dataset is a publicly available dataset of electricity consumption and renewable energy production in India, maintained by the Indian Smart Grid Forum. The dataset contains data on electricity consumption and renewable energy production from various sources, including wind, solar, and hydroelectric, collected from different parts of India. The data .. Zettelkasten/Dataset Information 2023. 4. 8.

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  RNN (Recurrent Neural Network) Information RNN (Recurrent Neural Network) is a type of neural network designed for processing sequential data, such as time series or natural language. It can handle input of varying length, and maintain an internal state (memory) that allows it to capture information from previous inputs. RNNs can be trained with backpropagation through time (BPTT) to optimize their weights and learn to predic.. Zettelkasten/Terminology Information 2023. 4. 8.

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  Portuguese energy network dataset Information The Portuguese Energy Network dataset is a publicly available dataset of electricity consumption and renewable energy production in Portugal. The dataset is managed by the Portuguese transmission system operator REN, and is intended to support research on energy consumption and renewable energy integration in Portugal. The dataset contains hourly data on electricity consumption and r.. Zettelkasten/Dataset Information 2023. 4. 7.

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  Long-term time series forecasting Information Long-term time series forecasting refers to the prediction of a time series for a horizon that is typically greater than a year. This type of forecasting is often used in business and economics, such as for predicting stock prices, interest rates, and sales data for a company. Long-term time series forecasting can be challenging due to the high number of variables that can affect the.. Zettelkasten/Terminology Information 2023. 4. 7.

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  RW (Random Walk) Information The RW (Random Walk) algorithm is a time series forecasting technique that assumes that the future values of a time series are equal to the last observed value plus a random error term. The RW algorithm is based on the principle that a series of random shocks in a time series tends to maintain the direction of the series in the short term. The RW algorithm is widely used as a benchma.. Zettelkasten/Terminology Information 2023. 4. 6.

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  KPX (Korean Power Exchange) dataset Information The KPX (Korean Power Exchange) dataset is a publicly available dataset of electricity prices and demand in the South Korean electricity market. The dataset is managed by the KPX, which is the national power exchange in South Korea, and is intended to support research on electricity market dynamics and price formation. The KPX dataset contains hourly data on electricity prices, elect.. Zettelkasten/Dataset Information 2023. 4. 6.

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  SVR (Support Vector Regression) Information SVR is a type of supervised machine learning algorithm that can be used for regression tasks. It is based on Support Vector Machines (SVM) and uses a similar approach to find a function that best fits the data. The goal of SVR is to find the hyperplane that has the maximum margin of error within a certain threshold. The threshold is defined by the epsilon parameter, which determines .. Zettelkasten/Terminology Information 2023. 4. 5.

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  Great britain historical SMP (System Marginal Price) dataset Information The Great britain historical SMP (System Marginal Price) dataset is a publicly available dataset of electricity prices in Great Britain. The dataset is managed by the UK energy market regulator Ofgem and is intended to support research on electricity market dynamics and price formation. The dataset contains hourly data on SMP, which is the price paid to generators for each unit of el.. Zettelkasten/Dataset Information 2023. 4. 5.

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  BPN (BackPropagation Neural Network) Information BPN (BackPropagation Neural Network) is a type of artificial neural network where the input signal is fed forward through the network, producing an output signal after passing through multiple layers of processing units, also called neurons. BPN employs backpropagation algorithm to adjust the weights of connections between neurons based on the difference between the expected output a.. Zettelkasten/Terminology Information 2023. 4. 4.

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  ECORE (Energy Consumption and Renewable Energy) dataset Information The ECORE (Energy Consumption and Renewable Energy) dataset is a publicly available dataset of energy consumption and renewable energy data, collected from households in the Netherlands. The dataset is managed by the Dutch research organization TNO and is intended to support research on energy consumption patterns, renewable energy adoption, and energy efficiency. The ECORE dataset c.. Zettelkasten/Dataset Information 2023. 4. 4.

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  MASE (Mean Absolute Scaled Error) Information MASE (Mean Absolute Scaled Error) is a metric for measuring forecast accuracy. MASE compares the accuracy of a given forecast with that of a naive forecast (e.g., a seasonal naïve or a random walk model). MASE is scale-independent, making it useful for comparing the accuracy of forecasts across different time series with different scales. The formula for MASE is: MASE = mean(|e_t|) /.. Zettelkasten/Terminology Information 2023. 4. 3.

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  ENTSO-E (European Network of Transmission System Operators for Electricity) dataset Information The ENTSO-E (European Network of Transmission System Operators for Electricity) dataset is a publicly available dataset of electricity transmission system data from across Europe. The dataset is managed by ENTSO-E, the association representing 43 electricity transmission system operators (TSOs) from 36 countries in Europe. The ENTSO-E dataset contains data on various aspects of the e.. Zettelkasten/Dataset Information 2023. 4. 3.

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  Classification Information Classification is a task in machine learning that involves assigning a label or class to input data based on its features or characteristics. It is a supervised learning approach that involves training a model on a labeled dataset and using it to predict the class of new, unseen data. There are many types of classification models, including decision trees, logistic regression, naive .. Zettelkasten/Terminology Information 2023. 4. 2.

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  BDGP (Building Data Genome Project) dataset Information The BDGP (Building Data Genome Project) dataset is a publicly available dataset of building energy consumption data and building information, collected from commercial and institutional buildings in the United States. The dataset is managed by Lawrence Berkeley National Laboratory and is intended to support research on building energy performance, as well as the development of energy.. Zettelkasten/Dataset Information 2023. 4. 2.

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  Irish smart meter dataset Information The Irish Smart Meter dataset is a publicly available dataset of electricity consumption measurements collected from smart meters installed in Irish households and small businesses. The dataset is managed by the Irish Commission for Regulation of Utilities (CRU), and is intended to support research on energy demand and behavior, as well as the development of energy management tools a.. Zettelkasten/Dataset Information 2023. 4. 1.

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  Clustering Information Clustering is a type of unsupervised learning technique used to group together similar objects in a dataset. The goal of clustering is to minimize the intra-cluster distance while maximizing the inter-cluster distance. The most common clustering algorithms include K-Means, Hierarchical, DBSCAN, and Gaussian Mixture Models. K-Means clustering divides the dataset into k distinct groups.. Zettelkasten/Terminology Information 2023. 4. 1.

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  HLP (Hourly Load Profiles) dataset Information The HLP (Hourly Load Profiles) dataset is a publicly available dataset of hourly load profiles for electricity demand in various regions around the world. The dataset is managed by the International Energy Agency (IEA) and is intended to provide data for modeling and analysis of energy systems, particularly with respect to electricity demand forecasting and energy policy planning. Th.. Zettelkasten/Dataset Information 2023. 3. 31.

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  MA (Moving Average) Information MA (Moving Average) is a time series forecasting method that involves calculating the average of past data points over a sliding time window. The size of the window is typically fixed and determines how many past data points to include in the calculation. The goal of MA is to identify patterns or trends in the data that are difficult to observe with raw data. It is a simple and widel.. Zettelkasten/Terminology Information 2023. 3. 31.

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  CAISO (California Independent System Operator) dataset Information The CAISO (California Independent System Operator) dataset is a publicly available dataset of energy measurements and market data from the CAISO region, intended for use in research on energy markets, grid operations, and related topics. The dataset is managed by CAISO, the organization responsible for operating the bulk power system and administering wholesale electricity markets in.. Zettelkasten/Dataset Information 2023. 3. 30.

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  AI (Artificial Intelligence) Information AI (Artificial Intelligence) is a branch of computer science that focuses on creating intelligent machines that can simulate human intelligence and behavior. It involves using algorithms, mathematical models, and computer programs to enable machines to perform tasks that typically require human intelligence, such as learning, problem-solving, perception, decision making, and natural .. Zettelkasten/Terminology Information 2023. 3. 30.