Results 11 to 20 of about 1,390,902 (303)
Market Power in Water Markets [PDF]
SSRN Electronic Journal, 2010 We model market power in water markets as multi-market Cournot competition with a river structure. Suppliers are connected through water balances, which imposes resource constraints, and they are connected to heterogeneous water users via a water delivery infrastructure. Our model captures a wide range of specific water market structures.
Ansink, E. & Houba, H.
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Market power in the expanding Nordic power market [PDF]
Applied Economics, 2009 We examine if the Nordic power market, Nord Pool, has been competitive or if electricity suppliers have had market power.
Bask, Mikael +2 more
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Sequential Markets, Market Power, and Arbitrage [PDF]
American Economic Review, 2014 We develop a framework to characterize strategic behavior in sequential markets under imperfect competition and restricted entry in arbitrage. Our theory predicts that these two elements can generate a systematic price premium. We test the model predictions using microdata from the Iberian electricity market.
Koichiro Ito, Mar Reguant
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Trade, renewable energy, and market power in power markets
Energy Economics, 2023 Energy markets are undergoing a radical shift towards renewable energy and network integration. We study the effects of integrating regions with storable (hydro) and intermittent (wind) energy sources in the presence of Market power. Based on a two-period model with price fluctuations in the wind power region and bottlenecks in transmission of energy ...
Kurt R. Brekke +2 more
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Weather biased optimal delta model for short-term load forecast
IET Smart Grid, 2020 In the current scenario of the deregulated Indian electricity market where the power demand and its availability vary remarkably, the factors playing a significant role in demand variations are often associated with the impact of unprecedented weather ...
Manish Uppal +2 more
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IET Smart Grid, 2021 Recently, the provision of the reserve from energy storage systems (ESSs) is introduced as a source for ancillary services to address the uncertainties of renewable power generations.
M. Habibi +3 more
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Deep learning for day-ahead electricity price forecasting
IET Smart Grid, 2020 Deregulation exposes the inherent volatility of the electricity price. Accurate electricity price forecasting (EPF) could help the market participants to hedge against the price movements and maximise their profits.
Chi Zhang +4 more
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Light robustness model for the bidding strategy of an electric vehicle aggregator
IET Smart Grid, 2021 Considering the uncertainties of the behaviour of electric vehicles (EVs) and the bidding of other participants in the market, the light robustness bidding model for the EV aggregator in the day‐ahead market is constructed.
Xin Gong, Fei Wang, Yu Su, Qiangqiang Xu
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Transactive energy systems for distributed blackstart and service recovery
IET Smart Grid, 2021 Current transactive controls use marginal benefits and marginal costs to achieve an economic market efficiency during normal grid operations. However, the transactive mechanisms designed for normal economic operations cannot be applied directly for the ...
Bishnu Bhattarai +3 more
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Optimizing Energy Storage Participation in Emerging Power Markets [PDF]
, 2015 The growing amount of intermittent renewables in power generation creates challenges for real-time matching of supply and demand in the power grid. Emerging ancillary power markets provide new incentives to consumers (e.g., electrical vehicles, data ...
Chen, Hao +3 more
core +4 more sources