Seasonal Smart Grid Energy Dataset
Hourly smart grid operations data showing seasonal dynamics in energy generation and consumption patterns.
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Hourly smart grid operations data showing seasonal dynamics in energy generation and consumption patterns.
View DatasetTime-stamped records with energy consumption, voltage, current, and environmental parameters from smart grid operations.
View DatasetA comprehensive, global dataset of hydropower plants, tracking their status, location, and capacity to support analysis of renewable energy infrastructure.
View DatasetA comprehensive, high-quality dataset from a network of ground monitoring stations across Saudi Arabia, measuring solar radiation components, wind resources, and related meteorological parameters. Essential for renewable energy feasibility studies, smart grid planning, and machine learning models in energy forecasting.
View DatasetA synthetic but carefully constructed IoT dataset for smart home renewable energy management, providing five CSV datasets (20, 50, 100, 200 homes over 365 days) with daily energy consumption and production values to simulate small, medium, and large-scale smart city and smart home scenarios.
View DatasetA real-world household dataset from 13 residential properties in Portugal over nearly three years, with 15-minute resolution measurements of electrical load, solar PV generation, weather parameters, and electricity market prices, published in Nature Scientific Data.
View DatasetMassive dataset from solar panels, wind turbines, and smart grid infrastructure for energy forecasting, demand prediction, and efficiency optimization using big data analytics, machine learning, Hadoop, and Spark distributed processing frameworks.
View DatasetReal operational electricity system records from ISO New England (ISONE) covering urban smart city energy activity including demand, generation, pricing, and grid operations across multiple metropolitan areas for energy analytics and forecasting.
View DatasetReadings from solar power inverters paired with local weather station data to predict energy generation efficiency.
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