W. Feng
Electrical and Electronic Engineering · Nature Energy · 2016–2019
A researcher in the Science corpus: 6 papers; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 37 citations into it; #13,464 of 16,539 by trust here, #13,553 by citations
- Renewable Energy, Sustainability and the Environment — 23 citations into it
- Economics and Econometrics — 16 citations into it
Whom W. Feng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts W. Feng overall
Papers from W. Feng's perspective
Ordered by how strongly the researchers W. Feng trusts endorse each paper. Same corpus, a different order for every researcher.
- To combine or not to combine: selecting among forecasts and their combinations
- Electricity price forecasting: A review of the state-of-the-art with a look into the future
- 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
- 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
- Demand response in electrical energy supply: An optimal real time pricing approach
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
- A roadmap for China to peak carbon dioxide emissions and achieve a 20% share of non-fossil fuels in primary energy by 2030 (2019) — 258 citations
- Scenarios of energy efficiency and CO2 emissions reduction potential in the buildings sector in China to year 2050 (2018) — 372 citations
- China's energy consumption in the building sector: A Statistical Yearbook-Energy Balance Sheet based splitting method (2018) — 279 citations
- Energy efficiency outlook in China’s urban buildings sector through 2030 (2016) — 111 citations