Hybrid model for short-term forecasting of loads and load control responses

Koponen, Pekka; Niska, Harri

doi:10.1109/isgteurope.2016.7856320

Cited by 5 publications

(3 citation statements)

References 13 publications

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“…According to the lighting index proposed in [19], on the premise of satisfying the customers, the lighting demand is adjusted according to the elasticity of electricity price, and the peak demand is reduced by 20% [18]. In [20], an optimized home energy management controller is proposed which incorporates ratings for several types of household appliances such as deferred, thermal and critical.…”

Section: A Demand Inhibitionmentioning

confidence: 99%

“…In residential sectors, 40% of the load is washing and dryer appliances. These appliances have great load shifting potential which can be easily rescheduled based on price signal without causing obvious customer's discomfort [18], [19]. Electric heating is one of the major contributors of residential demand [24].…”

Section: B Load Shiftingmentioning

confidence: 99%

“…A comprehensive model for short-term thermal load prediction and control response is studied in [48]. Based on regional heating price, the temperature setting value for the next hour can be predicted which increases the flexibility of heat load [19]. The utilization of building's thermal quality provides great potential for short-term adjustment of total power consumption.…”

Section: ) Model Of Short-term Idrmentioning

confidence: 99%

See 2 more Smart Citations

Integrated Demand Response Characteristics of Industrial Park: A Review

Chen¹,

Sun

Xin

et al. 2020

Journal of Modern Power Systems and Clean Energy

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With the gradual upgradation of global energy consumption and the associated development of multi-energy sources, the pace of unified energy planning and design has been accelerated and the concept of multi-energy system (MES) has been formed. The industrial structure of industrial park (IP) consists of production and marketing of multi-energy sources, which makes IP become an ideal application scenario for MES. The coupling between multi-sources raises the complexity level of IP, which requires the demand side analysis in IP as it enables customers to actively participate in energy planning and development. This paper presents the concept and operation strategies of integrated demand response (IDR), and its model classification is analyzed in detail. Optimization model and IDR with varying time period are studied in IP to determine their impacts on the system. A detailed survey of different techniques in both operation strategies and model classification is presented and the classification is based on pros and cons. Finally, key issues and outlooks are discussed. Index Terms-Industrial park (IP), multi-energy system (MES), integrated demand response (IDR), integrated direct load control (IDLC), demand side management (DSM), demand side comfort index.

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Section: A Demand Inhibitionmentioning

confidence: 99%

Section: B Load Shiftingmentioning

confidence: 99%