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In this paper we propose a framework for automated forecasting of energy-related time series using open access data from European Network of Transmission System Operators for Electricity (ENTSO-E). The framework provides forecasts for various European countries using publicly available historical data only. Our solution was benchmarked using the actual load data and the country provided estimates...
A technique for simulation of domestic, social and industrial electrical loads in decentralized power supply systems is considered in the paper. To commercialize renewable energy plants as parts of self-contained systems, several engineering problems are to be solved; the most important of them is matching the power generation and operation conditions at stochastic time variations in the power demand...
While electricity demand forecasting literature has focused on large, industrial, and national demand, this paper focuses on short-term (1 and 24 hour ahead) electricity demand forecasting for residential customers at the individual and aggregate level. Since electricity consumption behavior may vary between households, we first build a feature universe, and then apply Correlation-based Feature Selection...
The Internet of Things aims at creating smart environments. One of those fields of applications are smart micro grids. In those grids the energy producers and consumers become smart in the sense that they can plan and coordinate their actions. For those local grids, like groups of office buildings or households, a typical goal can be to minimize energy costs. In this paper we investigate the abilities...
Load forecasting is important for power systems planning, and, on the operational level, for the grid operators and the balance responsible parties. A decrease in the load forecasting error increases the security of supply, and leads to the decrease in the financial costs for both market participants and the power system as a whole. Different studies have investigated influence of load forecasting...
The methodology to predict building energy consumption is increasingly important for building energy baseline model development and measurement and verification protocol (MVP). Improving the energy efficiency of buildings by examining their heating, ventilating, and air-conditioning (HVAC) systems represents an opportunity. To improve energy efficiency, to increase occupant comfort, and to provide...
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