Noraisyah Mohamed Shah

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Electrical and Electronic Engineering — 17 citations into it
• Renewable Energy, Sustainability and the Environment — 15 citations into it
• Management Science and Operations Research — 6 citations into it

Whom Noraisyah Mohamed Shah trusts overall

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

1. Gordon Reikard

Papers from Noraisyah Mohamed Shah's perspective

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

1. Extreme learning machine: a new learning scheme of feedforward neural networks (2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541))
2. Extreme learning machine: Theory and applications
3. A new hybrid support vector machine–wavelet transform approach for estimation of horizontal global solar radiation
4. Review of photovoltaic power forecasting
5. Predicting solar radiation at high resolutions: A comparison of time series forecasts
6. Machine learning methods for solar radiation forecasting: A review
7. A support vector machine–firefly algorithm-based model for global solar radiation prediction
8. A hybrid model (SARIMA-SVM) for short-term power forecasting of a small-scale grid-connected photovoltaic plant
9. Artificial intelligence techniques for sizing photovoltaic systems: A review
10. RBF Neural Network and ANFIS-Based Short-Term Load Forecasting Approach in Real-Time Price Environment

Their papers

• Review on forecasting of photovoltaic power generation based on machine learning and metaheuristic techniques (2019) — 388 citations