Javier Contreras

Electrical and Electronic Engineering · 2002–2018

A researcher in the Science corpus: 14 papers; trusts 20 researchers and is trusted by 54 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 60 citations into it; #356 of 16,539 by trust here, #2,148 by citations
• Economics and Econometrics — 10 citations into it; #5,095 of 23,481 by trust here, #4,052 by citations
• Management Science and Operations Research — 9 citations into it; #3,777 of 11,946 by trust here, #2,016 by citations
• Statistics and Probability — 9 citations into it
• Finance — 5 citations into it
• Ocean Engineering — 5 citations into it

Whom Javier Contreras trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Haili Song
2. Antonio J. Conejo
3. Fushuan Wen
4. Francisco D. Galiana
5. X. Guan
6. Henrique S. Hippert
7. Robert F. Engle
8. A. Kumar David
9. Tim Bollerslev
10. Francisco Javier Nogales

Who trusts Javier Contreras overall

1. Antonio J. Conejo
2. Rafal Weron
3. Nima Amjady
4. Luis Baringo
5. Miguel Carrión
6. H. Zareipour
7. Paras Mandal
8. Carolina García-Martos
9. Sanjeev Kumar Aggarwal
10. Pengwei Du

Papers from Javier Contreras's perspective

Ordered by how strongly the researchers Javier Contreras trusts endorse each paper. Same corpus, a different order for every researcher.

1. Optimal electricity supply bidding by Markov decision process
2. Strategic bidding in competitive electricity markets: a literature survey (Power Engineering Society Summer Meeting)
3. Optimal response of a thermal unit to an electricity spot market
4. An Ordinal Optimization-Based Bidding Strategy for Electric Power Suppliers in the Daily Energy Market (IEEE Power Engineering Review)
5. Time Series Analysis: Forecasting and Control
6. Optimization of conditional value-at risk
7. Optimal bidding strategies and modeling of imperfect information among competitive generators
8. Nash Equilibrium Bidding Strategies in a Bilateral Electricity Market (IEEE Power Engineering Review)
9. Time‐series analysis supported by power transformations
10. Classification of publications and models on transmission expansion planning

Their papers

• Forecasting Next-Day Electricity Prices by Time Series Models (2002) — 933 citations
• ARIMA Models to Predict Next-Day Electricity Prices (2002) — 1,755 citations
• Forecasting electricity prices for a day-ahead pool-based electric energy market (2005) — 558 citations
• Transmission Expansion Planning in Electricity Markets (2008) — 273 citations
• A GARCH forecasting model to predict day-ahead electricity prices (2005) — 738 citations
• Finding multiperiod Nash equilibria in pool-based electricity markets (2004) — 125 citations
• Optimal coordinated wind-hydro bidding strategies in day-ahead markets (2013) — 130 citations
• Numerical solutions to Nash-Cournot equilibria in coupled constraint electricity markets (2004) — 294 citations
• Strategic Behavior of Multi-Energy Players in Electricity Markets as Aggregators of Demand Side Resources Using a Bi-Level Approach (2018) — 125 citations
• Bi-Level Approach to Distribution Network and Renewable Energy Expansion Planning Considering Demand Response (2017) — 143 citations
• Medium-term energy hub management subject to electricity price and wind uncertainty (2016) — 170 citations
• A Three-Level Static MILP Model for Generation and Transmission Expansion Planning (2013) — 179 citations
• Distribution System Planning With Reliability (2011) — 168 citations
• A cooperative game theory analysis for transmission loss allocation (2008) — 59 citations