Ming Jin
Electrical and Electronic Engineering · with Spanos · 2017–2019
A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 35 citations into it; #13,462 of 16,539 by trust here, #13,553 by citations
- Renewable Energy, Sustainability and the Environment — 9 citations into it
- Economics and Econometrics — 5 citations into it
- Statistics and Probability — 5 citations into it
Whom Ming Jin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rafal Weron
- Eric R. Ziegel
- Anna Alberini
- Mohsen Parsa Moghaddam
- Massimo Filippini
- Aymen Chaouachi
- Nikos D. Hatziargyriou
- Hamed Mohsenian Rad
- Cedric De Jonghe
- Matteo Salani
Who trusts Ming Jin overall
Papers from Ming Jin's perspective
Ordered by how strongly the researchers Ming Jin trusts endorse each paper. Same corpus, a different order for every researcher.
- Electricity price forecasting: A review of the state-of-the-art with a look into the future
- To combine or not to combine: selecting among forecasts and their combinations
- The Long-Run Efficiency of Real-Time Electricity Pricing
- Optimal Residential Load Control With Price Prediction in Real-Time Electricity Pricing Environments (IEEE Transactions on Smart Grid)
- Real-Time Demand Response Model (IEEE Transactions on Smart Grid)
- Response of residential electricity demand to price: The effect of measurement error
- Dynamic Programming and Optimal Control, Two Volume Set
- The Elements of Statistical Learning
- Economic Impact of Electricity Market Price Forecasting Errors: A Demand-Side Analysis (IEEE Transactions on Power Systems)
- Flexible demand response programs modeling in competitive electricity markets
Their papers
- Microgrid to enable optimal distributed energy retail and end-user demand response (2018) — 175 citations
- MOD-DR: Microgrid optimal dispatch with demand response (2017) — 167 citations
- Personal thermal comfort models with wearable sensors (2019) — 300 citations