A Temporal-Spatial Model Based Short-Term Power Load Forecasting Method in COVID-19 Context [PDF]
Bowen Liu +4 more
openalex +1 more source
Short-term power load forecasting in distribution networks considering human comfort level
The growth of power demand and the increase of new energy penetration have resulted in a heightened necessity for the precision of short-term power load forecasting in distribution networks. The majority of current research on short-term load forecasting
Yong Li +5 more
doaj +1 more source
SHORT TERM LOAD FORECASTING UNTUK HARI LIBUR PADA KONDISI BEBAN ANOMALI MENGGUNAKAN ALGORITMA HYBRID BACK PROPAGATION-SWARM PARTICLE [PDF]
Keakuratan prediksi beban listrik akan berdampak pada biaya pembangkitan yang lebih ekonomis. Penggunaan energi listrik pada hari libur nasional, menunjukkan pola beban yang cenderung tidak identik, pola ini berbeda dari pola beban pada hari normal.
Rasyid, Sopian Al
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Research on Load Forecasting Based on Bayesian Optimized CNN-LSTM Neural Network
With the high penetration of renewable energy integration and massive user participation in electricity markets, traditional short-term load forecasting methods exhibit limitations in both adaptability and prediction accuracy.
Pengyang Duan +6 more
doaj +1 more source
Combining Probabilistic Load Forecasts
Probabilistic load forecasts provide comprehensive information about future load uncertainties. In recent years, many methodologies and techniques have been proposed for probabilistic load forecasting.
Hong, Tao +5 more
core +1 more source
Short Term Load Forecasting for Electric Power Utilities: A Generalized Regression Approach Using Polynomials and Cross-Terms [PDF]
Aneeque A. Mir +5 more
openalex +1 more source
Reliability of Dynamic Load Scheduling with Solar Forecast Scenarios
This paper presents and evaluates the performance of an optimal scheduling algorithm that selects the on/off combinations and timing of a finite set of dynamic electric loads on the basis of short term predictions of the power delivery from a ...
de Callafon, Raymond A. +4 more
core +1 more source
Long-Term Load Forecasting Considering Volatility Using Multiplicative Error Model
Long-term load forecasting plays a vital role for utilities and planners in terms of grid development and expansion planning. An overestimate of long-term electricity load will result in substantial wasted investment in the construction of excess power ...
Khuntia, Swasti R. +2 more
core +1 more source
Short Term Load Forecasting New Year Celebration Holiday Using Interval Type-2 Fuzzy Inference System (Case Study: Java – Bali Electrical System) [PDF]
Celebration of New Year In the Indonesian is constituted the one of the visit Indonesian’s tourism. This event course changes the load of electrical energy.
Jamaaluddin, Jamaaluddin, Robandi, Imam
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