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Jie Cao, Ru-Xuan Zhang, Chao-Qiang Liu, Yuan-Bo Yang and Chin-Ling Chen
Daily load forecasting is the basis of the economic and safe operation of a power grid. Accurate prediction results can improve the matching of microgrid energy storage capacity allocation. With the popularization of smart meters, the interaction between...
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Nicoleta Stroia, Daniel Moga, Dorin Petreus, Alexandru Lodin, Vlad Muresan and Mirela Danubianu
The monitoring of power consumption and the forecasting of load profiles for residential appliances are essential aspects of the control of energy savings/exchanges at multiple hierarchical levels: house, house cluster, neighborhood, and city. External e...
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Pavlos Nikolaidis and Harris Partaourides
The intermittent and uncontrollable power output from the ever-increasing renewable energy sources, require large amounts of operating reserves to retain the system frequency within its nominal range. Based on day-ahead load forecasts, many research work...
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Ping Jiang and Ying Nie
Accurate and reliable power load forecasting not only takes an important place in management and steady running of smart grid, but also has environmental benefits and economic dividends. Accurate load point forecasting can provide a guarantee for the dai...
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Accurate short-term electric load forecasting is significant for the smart grid. It can reduce electric power consumption and ensure the balance between power supply and demand. In this paper, the Stacked Denoising Auto-Encoder (SDAE) is adopted for shor...
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Dongxiao Niu and Shuyu Dai
As an important part of power system planning and the basis of economic operation of power systems, the main work of power load forecasting is to predict the time distribution and spatial distribution of future power loads. The accuracy of load forecasti...
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Li-Ling Peng, Guo-Feng Fan, Min-Liang Huang and Wei-Chiang Hong
Electric load forecasting is an important issue for a power utility, associated with the management of daily operations such as energy transfer scheduling, unit commitment, and load dispatch. Inspired by strong non-linear learning capability of support v...
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Panos Prevedouros, Bill Halkias
Pág. 607 - 619
The forecasting of expressway traffic demand for existing facilities is not particularly challenging for regions and countries with stable or moderately growing economies. In most cases the objective is to carefully establish a reliable estimate for the ...
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Chao Lu, Hanchen Xu, Xin Pan and Jie Song
Battery Energy Storage System (BESS) can be utilized to shave the peak load in power systems and thus defer the need to upgrade the power grid. Based on a rolling load forecasting method, along with the peak load reduction requirements in reality, at the...
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Milo? Bo?ic, Milo? Stojanovic, Zoran Stajic and Dragan Tasic
In the deregulated energy market, the accuracy of load forecasting has a significant effect on the planning and operational decision making of utility companies. Electric load is a random non-stationary process influenced by a number of factors which mak...
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