2020 4th International Conference on Intelligent Computing and Control Systems (ICICCS) 2020
DOI: 10.1109/iciccs48265.2020.9120922
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Cited by 5 publications
(5 citation statements)
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“…This does not demonstrate zero consumption for a particular hour. Hacking, direct hooking, and performing industrial work with domestic tariffs are all examples of energy theft that result in significant losses for the utility [17].…”
Section: Detection Of Theft Based On Forecasting Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…This does not demonstrate zero consumption for a particular hour. Hacking, direct hooking, and performing industrial work with domestic tariffs are all examples of energy theft that result in significant losses for the utility [17].…”
Section: Detection Of Theft Based On Forecasting Methodsmentioning
confidence: 99%
“…The regression module utilizes two dense layers for the final forecasting decision [13,14]. A transfer function model and the Autoregressive Integrated Moving Average (ARIMA) model [16,17] to predict short-term load forecasting is better than GRU and LSTM [15,16]. The residential load, the commercial load, the office load, and the industrial load can all be classified using the developed model.…”
Section: Introductionmentioning
confidence: 99%
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“…DR is an important objective discussed in the literature. For instance, for the demand side, peak loading reduction by automatically move load from appliances such as washing machine and dishwasher to low-cost time slots is discussed in [25], and a dynamic benchmark tariff design for assessing and evaluating the DR potential of price-responsive loads on the end-consumer side is proposed in [26,32]. The tariff is based on time-series of Swiss spot market prices (Swissix) as traded on the European Energy Exchange (EEX).…”
Section: Four Categories Of Dynamic Distribution Tariffsmentioning
confidence: 99%
“…In the same work, the optimisation strategy is formulated as a mixed-integer quadratic (MIPQ) problem and the DR program participants are given financial rewards proportionally to their contribution. In [20], the design of a home energy management system (HEMS) is described, where controllable loads are optimally scheduled via a mixed-integer linear programming algorithm to serve load-shaping DR signals, while in [21] a logical shifting algorithm is proposed for peak-load shifting by scheduling the high-power operation modes of washing machines and dishwashers in proper time slots. All the aforementioned works have validated the proposed algorithms in simulation environments only.…”
Section: Introductionmentioning
confidence: 99%