Estimation Methodology. Buyer shall determine in a Commercially Reasonable Manner the quantity of Energy that could not be generated due to compliance with and implementation of the Dispatch Down instruction(s) based on: (i) The power plant controller output data points specified in Exhibit 9 attached hereto, which Seller shall provide to Buyer, on a real time basis, during the Term of this Agreement; (ii) the duration of the Dispatch Down; (iii) the amount of the generating capability of the Facility that is curtailed by the applicable Dispatch Down (e.g. 10% generation capability is curtailed); (iv) the solar exposure, irradiance, and meteorological circumstances actually recorded at the Facility during the Dispatch Down period; and (v) the Facility design, performance capability, and historic performance (the “Estimation Methodology”). Seller shall be responsible for installing and maintaining all equipment necessary to provide Buyer with the power plant controller output data points specified in Exhibit 9 on a real time basis. In the event that the real time data specified in 8.9.3(i) is unavailable historical production data required under Section 9.4.5 shall be used in its place. Absent manifest error, Xxxxx’s calculations of the quantity of Energy that could not be generated due to compliance with and implementation of the Dispatch Down instruction(s) shall govern for purposes of determining Control Compensation.
Estimation Methodology. Buyer shall determine in a Commercially Reasonable Manner the quantity of Energy that could not be generated due to compliance with and implementation of the Dispatch Down instruction(s) based on: (i) The power plant controller output data points specified in Exhibit 6 attached hereto, which Seller shall provide to Buyer, on a real time basis, during the Term of this Agreement; (ii) the duration of the Dispatch Down; (iii) the amount of the generating capability of the Facility that is curtailed by the applicable Dispatch Down (e.g. 10% generation capability is curtailed); (iv) the solar exposure, irradiance, and meteorological circumstances actually recorded at the Facility during the Dispatch Down period; and
Estimation Methodology. For each calendar year, after a Dispatch Down Payment Event occurs during that calendar year, Buyer shall pay Seller starting with the ( ) MWh [ ], at the Contract Price for the Product multiplied by the units of Product not generated due to the Dispatch Down instruction(s)Estimation Methodology. Buyer shall determine in a Commercially Reasonable Manner the quantity of Energy that could not be generated due to compliance with and implementation of the Dispatch Down instruction(s) based on: (i) The power plant controller output data points specified in Exhibit 96 attached hereto, which Seller shall provide to Buyer, on a real time basis, during the Term of this Agreement; (ii) the duration of the Dispatch Down; (iii) the amount of the generating capability of the Facility that is curtailed by the applicable Dispatch Down (e.g. 10% generation capability is curtailed); (iv) the solar exposure, irradiance, and meteorological circumstances actually recorded at the Facility during the Dispatch Down period; and (v) the Facility design, performance capability, and historic performance (the “Estimation Methodology”). Seller shall be responsible for installing and maintaining all equipment necessary to provide Buyer with the power plant controller output data points specified in Exhibit 96 on a real -time basis. In the event that the real time data specified in 8.9.36.2(i) is unavailable historical production data required under Section 9.4.5 shall be used in its place. Absent manifest error, Xxxxx’s calculations of the quantity of Energy that could not be generated due to compliance with and implementation of the Dispatch Down instruction(s) shall govern for purposes of determining Control Compensation.
Estimation Methodology. A conventional Inverse Distance Squared (IDS) interpolation method with an unfolding methodology was used to estimate Mn%, Al2O3%, Fe%, SiO2%, P2O5%, CaO%, MgO%, BaO%, S%, TiO2%, Pb% and LOI%. No grade capping was applied. Search ellipses applied in the estimate were based on a combination of variography and drill hole spacing and the interpreted geological continuity and orientation of the deposits. The search ellipse had radii of 75m by 75m by 7.5m vertically. A minimum of 2 samples and a maximum of 20 samples was required in the search, with a maximum of 4 samples per drill hole allowed. All mineralised blocks were informed in this search ellipse A density of 2.8 t/m3 has been applied to calculate resource tonnages. This was based on specific gravity test work on core and from experience and knowledge of manganese deposits in the district. A typical section through the resource model showing Mn grade is illustrated below as Figure 3. Figure 3. Mn% Section 7,537,500 North through the Resource Model MINERAL RESOURCE CLASSIFICATION Resource classification is based on information and data provided from the Spitfire database. Descriptions of drilling techniques, survey, sampling/sample preparation, analytical techniques and database management validation provided by Spitfire indicate that data collection and management is well within industry standards. Widenbar and Associates Pty Ltd (Widenbar) considers that the database represents an accurate record of the drilling undertaken at the project. Based on the data integrity, geological knowledge and estimation processes, the Contact Deposit Resource Estimate has been assigned to the Inferred Category as defined by the 2012 edition of the JORC code.
Estimation Methodology. Rather than estimating single point values, such as in maximum likelihood techniques, Global Trend uses estimates from a range of values. Global Trend uses Bayesian learning techniques to systematically adjust model parameters, markets, and sectors. FORT considers this approach similar to a fund of funds allocator that invests capital across a number of different managers rather than investing all of its capital with a single manager. The learning process favors both winners and losers for allocations. For example, models that underperform recently but perform well over the long-term are candidates for allocation. However, FORT generally limits allocation to recently underperforming models to 20% of the Global Trend portfolio’s overall risk profile.
Estimation Methodology. Rather than estimating single point values, such as in maximum likelihood techniques, Global Contrarian uses estimates from a range of values. Global Contrarian uses Bayesian learning techniques to systematically adjust model parameters, markets, and sectors. FORT considers this approach similar to a fund of funds allocator that invests capital across a number of different managers rather than investing all of its capital with a single manager. The learning process favors both winners and losers for allocations. For example, models that underperform recently but perform well over the long-term are candidates for allocation. However, FORT generally limits allocation to recently underperforming models to 20% of the Global Contrarian portfolio’s overall risk profile. RECALIBRATION Global Contrarian is adaptive by nature. On a daily basis, new price information is entered into the system and included in the calibration for the next day’s trading signals. Markets evolve and Global Contrarian’s estimated values reflect this new information. Although failure to re-estimate system values by not incorporating new information can lead to a deterioration of the system’s performance, a single day’s information is expected to change the estimated values only marginally. See the Disclosure Document for a more detailed description of the Global Contrarian Program, which is incorporated by reference herein.
