M. Imran

Electrical and Electronic Engineering · with Khan · 2020

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 40 citations into it
• Management Science and Operations Research — 18 citations into it
• Artificial Intelligence — 5 citations into it

Whom M. Imran trusts overall

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

1. James W. Taylor

Papers from M. Imran's perspective

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

1. Short-term electricity demand forecasting using double seasonal exponential smoothing (Journal of the Operational Research Society)
2. Short-Term Load Forecasting With Exponentially Weighted Methods (IEEE Transactions on Power Systems)
3. A comparison of univariate methods for forecasting electricity demand up to a day ahead
4. An evaluation of methods for very short-term load forecasting using minute-by-minute British data
5. Neural networks for short-term load forecasting: a review and evaluation
6. Short-term hourly load forecasting using time-series modeling with peak load estimation capability
7. Probabilistic electric load forecasting: A tutorial review
8. Electric load forecasting using an artificial neural network
9. Load Forecasting Using Support Vector Machines: A Study on EUNITE Competition 2001
10. Time series models (Grey-Markov, Grey Model with rolling mechanism and singular spectrum analysis) to forecast energy consumption in India

Their papers

• A Critical Review of Sustainable Energy Policies for the Promotion of Renewable Energy Sources (2020) — 387 citations
• A Review of Electricity Demand Forecasting in Low and Middle Income Countries: The Demand Determinants and Horizons (2020) — 126 citations