A review of solar forecasting, its dependence on atmospheric sciences and implications for grid integration: Towards carbon neutrality

D Yang, W Wang, CA Gueymard, T Hong… - … and Sustainable Energy …, 2022 - Elsevier
The ability to forecast solar irradiance plays an indispensable role in solar power
forecasting, which constitutes an essential step in planning and operating power systems …

[HTML][HTML] Load forecasting models in smart grid using smart meter information: a review

F Dewangan, AY Abdelaziz, M Biswal - Energies, 2023 - mdpi.com
The smart grid concept is introduced to accelerate the operational efficiency and enhance
the reliability and sustainability of power supply by operating in self-control mode to find and …

Electricity load forecasting by an improved forecast engine for building level consumers

Y Liu, W Wang, N Ghadimi - Energy, 2017 - Elsevier
For optimal power system operation, electrical generation must follow electrical load
demand. So, short term load forecast (STLF) has been proposed by researchers to tackle the …

Using Bayesian deep learning to capture uncertainty for residential net load forecasting

M Sun, T Zhang, Y Wang, G Strbac… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Decarbonization of electricity systems drives significant and continued investments in
distributed energy sources to support the cost-effective transition to low-carbon energy …

Data-driven probabilistic net load forecasting with high penetration of behind-the-meter PV

Y Wang, N Zhang, Q Chen… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Distributed renewable energy, particularly photovoltaics (PV), has expanded rapidly over the
past decade. Distributed PV is located behind the meter and is, thus, invisible to the retailers …

A review of behind-the-meter solar forecasting

BC Erdener, C Feng, K Doubleday, A Florita… - … and Sustainable Energy …, 2022 - Elsevier
Solar photovoltaic systems largely integrated within the distribution grid are operated
'behind-the-meter'and power generation cannot be directly monitored by most utilities. The …

[HTML][HTML] Highly accurate peak and valley prediction short-term net load forecasting approach based on decomposition for power systems with high PV penetration

T Zhang, X Zhang, TK Chau, Y Chow, T Fernando… - Applied Energy, 2023 - Elsevier
The increasing penetration of photovoltaic has been reshaping the electricity net load curve,
which has a significant impact on power system operation and short-term dispatch …

[HTML][HTML] A review of electricity demand forecasting in low and middle income countries: The demand determinants and horizons

AA Mir, M Alghassab, K Ullah, ZA Khan, Y Lu, M Imran - Sustainability, 2020 - mdpi.com
With the globally increasing electricity demand, its related uncertainties are on the rise as
well. Therefore, a deeper insight of load forecasting techniques for projecting future …

Two-stage decoupled estimation approach of aggregated baseline load under high penetration of behind-the-meter PV system

K Li, J Yan, L Hu, F Wang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Accurate aggregated baseline load (ABL) estimation is critical for the implementation of
incentive-based demand response (DR). The increasing penetration of invisible behind-the …

Flexibility evaluation of wind-PV-hydro multi-energy complementary base considering the compensation ability of cascade hydropower stations

M Zhao, Y Wang, X Wang, J Chang, Y Chen, Y Zhou… - Applied Energy, 2022 - Elsevier
The widespread expansion of renewable energy, like wind and photovoltaic (PV), increases
the importance of power system flexibility. Quantify the balance between the flexibility supply …