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Predicting long-term electricity prices using modified support vector regression method.

• Authors : Abroun, Mehdi¹ (AUTHOR); Jahangiri, Alireza¹ (AUTHOR) ; Shamim, Ahmad Ghaderi¹ (AUTHOR)

• Source: Electrical Engineering. Aug2024, Vol. 106 Issue 4, p4103-4114. 12p.

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The pass-through rates of carbon costs on to electricity prices within the Australian National Electricity Market.

• Authors : Nazifi, Fatemeh¹

• Source: Environmental Economics & Policy Studies. Jan2016, Vol. 18 Issue 1, p41-62. 22p.

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Perfect competition vs. strategic behaviour models to derive electricity prices and the influence of renewables on market power.

• Authors : Koschker, Susanne¹ ; Möst, Dominik¹

• Source: OR Spectrum. Jul2016, Vol. 38 Issue 3, p661-686. 26p.

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A seasonal feedforward neural network to forecast electricity prices.

• Authors : Saâdaoui, Foued¹

• Source: Neural Computing & Applications. Apr2017, Vol. 28 Issue 4, p835-847. 13p.

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Voter power and electricity prices.

• Authors : Primeaux Jr., Walter J.; Mann, Patrick C.

Subjects: Independent regulatory commissions; Electric rates; PricesUnited States

• Source: Public Choice. 1985, Vol. 47 Issue 3, p519-525. 7p.

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Artificial intelligence models development for profitability factor prediction in concentrated solar power with dual backup systems.

• Authors : Yaseen, Zaher Mundher^1,2 (AUTHOR) ; Alawi, Omer A.^3,4 (AUTHOR)

• Source: Scientific Reports. 2/11/2025, Vol. 15 Issue 1, p1-27. 27p.

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The electricity cost burden of durable medical equipment in the United States.

• Authors : Carley, Sanya¹ (AUTHOR) ; Bansal, Shreya² (AUTHOR); Harak, Charles³ (AUTHOR)

• Source: Scientific Reports. 12/28/2024, Vol. 14 Issue 1, p1-7. 7p.

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Electricity price forecast on day-ahead market for mid- and short terms: capturing spikes in data sequences using recurrent neural network techniques.

• Authors : Bâra, Adela¹ (AUTHOR); Oprea, Simona Vasilica¹ (AUTHOR)

• Source: Electrical Engineering. Oct2024, Vol. 106 Issue 5, p6309-6338. 30p.

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Spatial characteristics and dynamic differences of power industry's low carbon transition efficiency.

• Authors : Qin, Chaoyong^1,2; Liang, Yizheng^1,2; Cao, Yun^1,2

• Source: Scientific Reports. 8/15/2024, Vol. 14 Issue 1, p1-18. 18p.

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A technical-economic analysis of integrating vine prunings energy conversion systems for CHP production in local wineries.

• Authors : Morselli, Nicoló¹ (AUTHOR) ; Puglia, Marco¹ (AUTHOR); Capozzolo, Gerardo¹ (AUTHOR)

• Source: Energy Efficiency (1570646X). Apr2024, Vol. 17 Issue 4, p1-19. 19p.

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